|
Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
|
| [CourseClub.Me].url |
122B |
| [FreeCourseSite.com].url |
127B |
| [GigaCourse.Com].url |
49B |
| 100 - Optimizers comparison.mp4 |
97.29MB |
| 100 - Optimizers comparison English.vtt |
12.71KB |
| 100 - Optimizers comparison Vietnamese.vtt |
15.91KB |
| 101 - CodeChallenge Optimizers and something.mp4 |
54.40MB |
| 101 - CodeChallenge Optimizers and something English.vtt |
8.19KB |
| 101 - CodeChallenge Optimizers and something Vietnamese.vtt |
10.39KB |
| 102 - CodeChallenge Adam with L2 regularization.mp4 |
61.08MB |
| 102 - CodeChallenge Adam with L2 regularization English.vtt |
9.04KB |
| 102 - CodeChallenge Adam with L2 regularization Vietnamese.vtt |
11.01KB |
| 103 - Learning rate decay.mp4 |
107.19MB |
| 103 - Learning rate decay English.vtt |
15.45KB |
| 103 - Learning rate decay Vietnamese.vtt |
19.76KB |
| 104 - How to pick the right metaparameters.mp4 |
36.80MB |
| 104 - How to pick the right metaparameters English.vtt |
14.61KB |
| 104 - How to pick the right metaparameters Vietnamese.vtt |
18.85KB |
| 105 - What are fullyconnected and feedforward networks.mp4 |
17.84MB |
| 105 - What are fullyconnected and feedforward networks English.vtt |
6.11KB |
| 105 - What are fullyconnected and feedforward networks Vietnamese.vtt |
7.91KB |
| 106 - The MNIST dataset.mp4 |
135.66MB |
| 106 - The MNIST dataset English.vtt |
15.97KB |
| 106 - The MNIST dataset Vietnamese.vtt |
19.93KB |
| 107 - FFN to classify digits.mp4 |
178.30MB |
| 107 - FFN to classify digits English.vtt |
28.31KB |
| 107 - FFN to classify digits Vietnamese.vtt |
35.46KB |
| 108 - CodeChallenge Binarized MNIST images.mp4 |
44.55MB |
| 108 - CodeChallenge Binarized MNIST images English.vtt |
6.42KB |
| 108 - CodeChallenge Binarized MNIST images Vietnamese.vtt |
8.12KB |
| 109 - CodeChallenge Data normalization.mp4 |
104.14MB |
| 109 - CodeChallenge Data normalization English.vtt |
21.17KB |
| 109 - CodeChallenge Data normalization Vietnamese.vtt |
26.72KB |
| 10 - Should you watch the Python tutorial.mp4 |
13.79MB |
| 10 - Should you watch the Python tutorial English.vtt |
5.39KB |
| 10 - Should you watch the Python tutorial Vietnamese.vtt |
6.58KB |
| 110 - Distributions of weights pre and postlearning.mp4 |
141.80MB |
| 110 - Distributions of weights pre and postlearning English.vtt |
18.77KB |
| 110 - Distributions of weights pre and postlearning Vietnamese.vtt |
23.88KB |
| 111 - CodeChallenge MNIST and breadth vs depth.mp4 |
140.35MB |
| 111 - CodeChallenge MNIST and breadth vs depth English.vtt |
15.43KB |
| 111 - CodeChallenge MNIST and breadth vs depth Vietnamese.vtt |
19.02KB |
| 112 - CodeChallenge Optimizers and MNIST.mp4 |
50.72MB |
| 112 - CodeChallenge Optimizers and MNIST English.vtt |
8.67KB |
| 112 - CodeChallenge Optimizers and MNIST Vietnamese.vtt |
10.77KB |
| 113 - Scrambled MNIST.mp4 |
60.17MB |
| 113 - Scrambled MNIST English.vtt |
9.78KB |
| 113 - Scrambled MNIST Vietnamese.vtt |
12.51KB |
| 114 - Shifted MNIST.mp4 |
86.36MB |
| 114 - Shifted MNIST English.vtt |
14.23KB |
| 114 - Shifted MNIST Vietnamese.vtt |
18.65KB |
| 115 - CodeChallenge The mystery of the missing 7.mp4 |
80.88MB |
| 115 - CodeChallenge The mystery of the missing 7 English.vtt |
13.61KB |
| 115 - CodeChallenge The mystery of the missing 7 Vietnamese.vtt |
17.14KB |
| 116 - Universal approximation theorem.mp4 |
34.23MB |
| 116 - Universal approximation theorem English.vtt |
10.23KB |
| 116 - Universal approximation theorem Vietnamese.vtt |
12.69KB |
| 117 - Anatomy of a torch dataset and dataloader.mp4 |
151.86MB |
| 117 - Anatomy of a torch dataset and dataloader English.vtt |
22.69KB |
| 117 - Anatomy of a torch dataset and dataloader Vietnamese.vtt |
29.05KB |
| 118 - Data size and network size.mp4 |
149.51MB |
| 118 - Data size and network size English.vtt |
20.30KB |
| 118 - Data size and network size Vietnamese.vtt |
25.32KB |
| 119 - CodeChallenge unbalanced data.mp4 |
183.43MB |
| 119 - CodeChallenge unbalanced data English.vtt |
25.26KB |
| 119 - CodeChallenge unbalanced data Vietnamese.vtt |
32.39KB |
| 11 - PyTorch or TensorFlow.html |
1.07KB |
| 120 - What to do about unbalanced designs.mp4 |
29.78MB |
| 120 - What to do about unbalanced designs English.vtt |
9.70KB |
| 120 - What to do about unbalanced designs Vietnamese.vtt |
12.39KB |
| 121 - Data oversampling in MNIST.mp4 |
136.13MB |
| 121 - Data oversampling in MNIST English.vtt |
20.84KB |
| 121 - Data oversampling in MNIST Vietnamese.vtt |
26.45KB |
| 122 - Data noise augmentation with devsettest.mp4 |
117.64MB |
| 122 - Data noise augmentation with devsettest English.vtt |
16.15KB |
| 122 - Data noise augmentation with devsettest Vietnamese.vtt |
20.27KB |
| 123 - Data feature augmentation.mp4 |
176.25MB |
| 123 - Data feature augmentation English.vtt |
24.60KB |
| 123 - Data feature augmentation Vietnamese.vtt |
30.79KB |
| 124 - Getting data into colab.mp4 |
48.76MB |
| 124 - Getting data into colab English.vtt |
7.71KB |
| 124 - Getting data into colab Vietnamese.vtt |
9.90KB |
| 125 - Save and load trained models.mp4 |
61.58MB |
| 125 - Save and load trained models English.vtt |
7.78KB |
| 125 - Save and load trained models Vietnamese.vtt |
10.08KB |
| 126 - Save the bestperforming model.mp4 |
139.86MB |
| 126 - Save the bestperforming model English.vtt |
18.96KB |
| 126 - Save the bestperforming model Vietnamese.vtt |
24.33KB |
| 127 - Where to find online datasets.mp4 |
46.09MB |
| 127 - Where to find online datasets English.vtt |
7.16KB |
| 127 - Where to find online datasets Vietnamese.vtt |
8.89KB |
| 128 - Two perspectives of the world.mp4 |
26.81MB |
| 128 - Two perspectives of the world English.vtt |
8.91KB |
| 128 - Two perspectives of the world Vietnamese.vtt |
11.44KB |
| 129 - Accuracy precision recall F1.mp4 |
90.68MB |
| 129 - Accuracy precision recall F1 English.vtt |
15.63KB |
| 129 - Accuracy precision recall F1 Vietnamese.vtt |
18.80KB |
| 12 - Introduction to this section.mp4 |
6.56MB |
| 12 - Introduction to this section English.vtt |
2.55KB |
| 12 - Introduction to this section Vietnamese.vtt |
3.18KB |
| 130 - APRF in code.mp4 |
61.06MB |
| 130 - APRF in code English.vtt |
8.17KB |
| 130 - APRF in code Vietnamese.vtt |
10.24KB |
| 131 - APRF example 1 wine quality.mp4 |
162.71MB |
| 131 - APRF example 1 wine quality English.vtt |
16.62KB |
| 131 - APRF example 1 wine quality Vietnamese.vtt |
21.52KB |
| 132 - APRF example 2 MNIST.mp4 |
150.26MB |
| 132 - APRF example 2 MNIST English.vtt |
14.85KB |
| 132 - APRF example 2 MNIST Vietnamese.vtt |
18.68KB |
| 133 - CodeChallenge MNIST with unequal groups.mp4 |
91.45MB |
| 133 - CodeChallenge MNIST with unequal groups English.vtt |
11.13KB |
| 133 - CodeChallenge MNIST with unequal groups Vietnamese.vtt |
13.75KB |
| 134 - Computation time.mp4 |
110.41MB |
| 134 - Computation time English.vtt |
12.37KB |
| 134 - Computation time Vietnamese.vtt |
15.39KB |
| 135 - Better performance in test than train.mp4 |
26.26MB |
| 135 - Better performance in test than train English.vtt |
10.53KB |
| 135 - Better performance in test than train Vietnamese.vtt |
13.28KB |
| 136 - Project 1 A gratuitously complex adding machine.mp4 |
37.39MB |
| 136 - Project 1 A gratuitously complex adding machine English.vtt |
9.34KB |
| 136 - Project 1 A gratuitously complex adding machine Vietnamese.vtt |
11.77KB |
| 137 - Project 1 My solution.mp4 |
109.53MB |
| 137 - Project 1 My solution English.vtt |
14.55KB |
| 137 - Project 1 My solution Vietnamese.vtt |
18.42KB |
| 138 - Project 2 Predicting heart disease.mp4 |
35.56MB |
| 138 - Project 2 Predicting heart disease English.vtt |
9.55KB |
| 138 - Project 2 Predicting heart disease Vietnamese.vtt |
11.81KB |
| 139 - Project 2 My solution.mp4 |
155.73MB |
| 139 - Project 2 My solution English.vtt |
23.79KB |
| 139 - Project 2 My solution Vietnamese.vtt |
29.77KB |
| 13 - Spectral theories in mathematics.mp4 |
64.49MB |
| 13 - Spectral theories in mathematics English.vtt |
11.86KB |
| 13 - Spectral theories in mathematics Vietnamese.vtt |
14.79KB |
| 140 - Project 3 FFN for missing data interpolation.mp4 |
27.39MB |
| 140 - Project 3 FFN for missing data interpolation English.vtt |
12.49KB |
| 140 - Project 3 FFN for missing data interpolation Vietnamese.vtt |
15.95KB |
| 141 - Project 3 My solution.mp4 |
83.52MB |
| 141 - Project 3 My solution English.vtt |
10.28KB |
| 141 - Project 3 My solution Vietnamese.vtt |
13.09KB |
| 142 - Explanation of weight matrix sizes.mp4 |
89.58MB |
| 142 - Explanation of weight matrix sizes English.vtt |
14.93KB |
| 142 - Explanation of weight matrix sizes Vietnamese.vtt |
18.01KB |
| 143 - A surprising demo of weight initializations.mp4 |
132.78MB |
| 143 - A surprising demo of weight initializations English.vtt |
20.66KB |
| 143 - A surprising demo of weight initializations Vietnamese.vtt |
26.53KB |
| 144 - Theory Why and how to initialize weights.mp4 |
107.92MB |
| 144 - Theory Why and how to initialize weights English.vtt |
15.92KB |
| 144 - Theory Why and how to initialize weights Vietnamese.vtt |
19.85KB |
| 145 - CodeChallenge Weight variance inits.mp4 |
112.85MB |
| 145 - CodeChallenge Weight variance inits English.vtt |
16.03KB |
| 145 - CodeChallenge Weight variance inits Vietnamese.vtt |
20.11KB |
| 146 - Xavier and Kaiming initializations.mp4 |
148.87MB |
| 146 - Xavier and Kaiming initializations English.vtt |
19.56KB |
| 146 - Xavier and Kaiming initializations Vietnamese.vtt |
24.64KB |
| 147 - CodeChallenge Xavier vs Kaiming.mp4 |
169.10MB |
| 147 - CodeChallenge Xavier vs Kaiming English.vtt |
21.24KB |
| 147 - CodeChallenge Xavier vs Kaiming Vietnamese.vtt |
27.00KB |
| 148 - CodeChallenge Identically random weights.mp4 |
96.12MB |
| 148 - CodeChallenge Identically random weights English.vtt |
15.55KB |
| 148 - CodeChallenge Identically random weights Vietnamese.vtt |
19.76KB |
| 149 - Freezing weights during learning.mp4 |
137.77MB |
| 149 - Freezing weights during learning English.vtt |
16.69KB |
| 149 - Freezing weights during learning Vietnamese.vtt |
21.12KB |
| 14 - Terms and datatypes in math and computers.mp4 |
22.68MB |
| 14 - Terms and datatypes in math and computers English.vtt |
9.23KB |
| 14 - Terms and datatypes in math and computers Vietnamese.vtt |
11.46KB |
| 150 - Learningrelated changes in weights.mp4 |
161.55MB |
| 150 - Learningrelated changes in weights English.vtt |
28.30KB |
| 150 - Learningrelated changes in weights Vietnamese.vtt |
34.89KB |
| 151 - Use default inits or apply your own.mp4 |
16.76MB |
| 151 - Use default inits or apply your own English.vtt |
5.58KB |
| 151 - Use default inits or apply your own Vietnamese.vtt |
6.98KB |
| 152 - What are autoencoders and what do they do.mp4 |
29.40MB |
| 152 - What are autoencoders and what do they do English.vtt |
14.69KB |
| 152 - What are autoencoders and what do they do Vietnamese.vtt |
18.47KB |
| 153 - Denoising MNIST.mp4 |
134.22MB |
| 153 - Denoising MNIST English.vtt |
19.65KB |
| 153 - Denoising MNIST Vietnamese.vtt |
24.44KB |
| 154 - CodeChallenge How many units.mp4 |
148.39MB |
| 154 - CodeChallenge How many units English.vtt |
25.01KB |
| 154 - CodeChallenge How many units Vietnamese.vtt |
30.78KB |
| 155 - AEs for occlusion.mp4 |
138.20MB |
| 155 - AEs for occlusion English.vtt |
21.99KB |
| 155 - AEs for occlusion Vietnamese.vtt |
27.71KB |
| 156 - The latent code of MNIST.mp4 |
182.10MB |
| 156 - The latent code of MNIST English.vtt |
27.32KB |
| 156 - The latent code of MNIST Vietnamese.vtt |
33.77KB |
| 157 - Autoencoder with tied weights.mp4 |
200.67MB |
| 157 - Autoencoder with tied weights English.vtt |
30.00KB |
| 157 - Autoencoder with tied weights Vietnamese.vtt |
38.36KB |
| 158 - What is a GPU and why use it.mp4 |
69.22MB |
| 158 - What is a GPU and why use it English.vtt |
19.39KB |
| 158 - What is a GPU and why use it Vietnamese.vtt |
23.74KB |
| 159 - Implementation.mp4 |
60.70MB |
| 159 - Implementation English.vtt |
12.79KB |
| 159 - Implementation Vietnamese.vtt |
16.14KB |
| 15 - Converting reality to numbers.mp4 |
19.72MB |
| 15 - Converting reality to numbers English.vtt |
8.32KB |
| 15 - Converting reality to numbers Vietnamese.vtt |
10.76KB |
| 160 - CodeChallenge Run an experiment on the GPU.mp4 |
59.16MB |
| 160 - CodeChallenge Run an experiment on the GPU English.vtt |
8.48KB |
| 160 - CodeChallenge Run an experiment on the GPU Vietnamese.vtt |
10.04KB |
| 161 - Convolution concepts.mp4 |
126.08MB |
| 161 - Convolution concepts English.vtt |
27.96KB |
| 161 - Convolution concepts Vietnamese.vtt |
34.53KB |
| 162 - Feature maps and convolution kernels.mp4 |
83.22MB |
| 162 - Feature maps and convolution kernels English.vtt |
12.14KB |
| 162 - Feature maps and convolution kernels Vietnamese.vtt |
15.01KB |
| 163 - Convolution in code.mp4 |
258.22MB |
| 163 - Convolution in code English.vtt |
26.37KB |
| 163 - Convolution in code Vietnamese.vtt |
32.94KB |
| 164 - Convolution parameters stride padding.mp4 |
38.86MB |
| 164 - Convolution parameters stride padding English.vtt |
15.64KB |
| 164 - Convolution parameters stride padding Vietnamese.vtt |
19.26KB |
| 165 - The Conv2 class in PyTorch.mp4 |
113.43MB |
| 165 - The Conv2 class in PyTorch English.vtt |
16.32KB |
| 165 - The Conv2 class in PyTorch Vietnamese.vtt |
20.39KB |
| 166 - CodeChallenge Choose the parameters.mp4 |
31.01MB |
| 166 - CodeChallenge Choose the parameters English.vtt |
8.85KB |
| 166 - CodeChallenge Choose the parameters Vietnamese.vtt |
11.19KB |
| 167 - Transpose convolution.mp4 |
102.82MB |
| 167 - Transpose convolution English.vtt |
17.25KB |
| 167 - Transpose convolution Vietnamese.vtt |
21.38KB |
| 168 - Maxmean pooling.mp4 |
69.37MB |
| 168 - Maxmean pooling English.vtt |
23.12KB |
| 168 - Maxmean pooling Vietnamese.vtt |
29.34KB |
| 169 - Pooling in PyTorch.mp4 |
64.25MB |
| 169 - Pooling in PyTorch English.vtt |
17.34KB |
| 169 - Pooling in PyTorch Vietnamese.vtt |
21.71KB |
| 16 - Vector and matrix transpose.mp4 |
26.18MB |
| 16 - Vector and matrix transpose English.vtt |
8.68KB |
| 16 - Vector and matrix transpose Vietnamese.vtt |
10.92KB |
| 170 - To pool or to stride.mp4 |
70.79MB |
| 170 - To pool or to stride English.vtt |
12.62KB |
| 170 - To pool or to stride Vietnamese.vtt |
16.06KB |
| 171 - Image transforms.mp4 |
192.95MB |
| 171 - Image transforms English.vtt |
20.48KB |
| 171 - Image transforms Vietnamese.vtt |
26.16KB |
| 172 - Creating and using custom DataLoaders.mp4 |
154.12MB |
| 172 - Creating and using custom DataLoaders English.vtt |
22.85KB |
| 172 - Creating and using custom DataLoaders Vietnamese.vtt |
29.37KB |
| 173 - The canonical CNN architecture.mp4 |
33.16MB |
| 173 - The canonical CNN architecture English.vtt |
13.68KB |
| 173 - The canonical CNN architecture Vietnamese.vtt |
17.01KB |
| 174 - CNN to classify MNIST digits.mp4 |
217.84MB |
| 174 - CNN to classify MNIST digits English.vtt |
32.79KB |
| 174 - CNN to classify MNIST digits Vietnamese.vtt |
40.74KB |
| 175 - CNN on shifted MNIST.mp4 |
63.47MB |
| 175 - CNN on shifted MNIST English.vtt |
10.53KB |
| 175 - CNN on shifted MNIST Vietnamese.vtt |
13.73KB |
| 176 - Classify Gaussian blurs.mp4 |
279.72MB |
| 176 - Classify Gaussian blurs English.vtt |
29.64KB |
| 176 - Classify Gaussian blurs Vietnamese.vtt |
36.52KB |
| 177 - Examine feature map activations.mp4 |
412.18MB |
| 177 - Examine feature map activations English.vtt |
34.96KB |
| 177 - Examine feature map activations Vietnamese.vtt |
44.07KB |
| 178 - CodeChallenge Softcode internal parameters.mp4 |
176.05MB |
| 178 - CodeChallenge Softcode internal parameters English.vtt |
21.73KB |
| 178 - CodeChallenge Softcode internal parameters Vietnamese.vtt |
27.06KB |
| 179 - CodeChallenge How wide the FC.mp4 |
144.65MB |
| 179 - CodeChallenge How wide the FC English.vtt |
14.60KB |
| 179 - CodeChallenge How wide the FC Vietnamese.vtt |
18.06KB |
| 17 - OMG its the dot product.mp4 |
28.73MB |
| 17 - OMG its the dot product English.vtt |
12.11KB |
| 17 - OMG its the dot product Vietnamese.vtt |
14.35KB |
| 180 - Do autoencoders clean Gaussians.mp4 |
206.11MB |
| 180 - Do autoencoders clean Gaussians English.vtt |
21.15KB |
| 180 - Do autoencoders clean Gaussians Vietnamese.vtt |
26.28KB |
| 181 - CodeChallenge AEs and occluded Gaussians.mp4 |
128.09MB |
| 181 - CodeChallenge AEs and occluded Gaussians English.vtt |
12.12KB |
| 181 - CodeChallenge AEs and occluded Gaussians Vietnamese.vtt |
15.20KB |
| 182 - CodeChallenge Custom loss functions.mp4 |
154.88MB |
| 182 - CodeChallenge Custom loss functions English.vtt |
25.77KB |
| 182 - CodeChallenge Custom loss functions Vietnamese.vtt |
31.62KB |
| 183 - Discover the Gaussian parameters.mp4 |
136.65MB |
| 183 - Discover the Gaussian parameters English.vtt |
20.21KB |
| 183 - Discover the Gaussian parameters Vietnamese.vtt |
24.89KB |
| 184 - The EMNIST dataset letter recognition.mp4 |
219.98MB |
| 184 - The EMNIST dataset letter recognition English.vtt |
31.08KB |
| 184 - The EMNIST dataset letter recognition Vietnamese.vtt |
38.59KB |
| 185 - Dropout in CNNs.mp4 |
104.23MB |
| 185 - Dropout in CNNs English.vtt |
12.44KB |
| 185 - Dropout in CNNs Vietnamese.vtt |
15.46KB |
| 186 - CodeChallenge How low can you go.mp4 |
60.23MB |
| 186 - CodeChallenge How low can you go English.vtt |
8.66KB |
| 186 - CodeChallenge How low can you go Vietnamese.vtt |
10.85KB |
| 187 - CodeChallenge Varying number of channels.mp4 |
99.83MB |
| 187 - CodeChallenge Varying number of channels English.vtt |
17.12KB |
| 187 - CodeChallenge Varying number of channels Vietnamese.vtt |
21.03KB |
| 188 - So many possibilities How to create a CNN.mp4 |
12.93MB |
| 188 - So many possibilities How to create a CNN English.vtt |
5.68KB |
| 188 - So many possibilities How to create a CNN Vietnamese.vtt |
7.10KB |
| 189 - Project 1 Import and classify CIFAR10.mp4 |
53.17MB |
| 189 - Project 1 Import and classify CIFAR10 English.vtt |
9.25KB |
| 189 - Project 1 Import and classify CIFAR10 Vietnamese.vtt |
11.89KB |
| 18 - Matrix multiplication.mp4 |
66.71MB |
| 18 - Matrix multiplication English.vtt |
17.86KB |
| 18 - Matrix multiplication Vietnamese.vtt |
21.74KB |
| 190 - Project 1 My solution.mp4 |
130.03MB |
| 190 - Project 1 My solution English.vtt |
14.98KB |
| 190 - Project 1 My solution Vietnamese.vtt |
18.91KB |
| 191 - Project 2 CIFARautoencoder.mp4 |
45.25MB |
| 191 - Project 2 CIFARautoencoder English.vtt |
6.11KB |
| 191 - Project 2 CIFARautoencoder Vietnamese.vtt |
7.40KB |
| 192 - Project 3 FMNIST.mp4 |
28.84MB |
| 192 - Project 3 FMNIST English.vtt |
4.55KB |
| 192 - Project 3 FMNIST Vietnamese.vtt |
5.62KB |
| 193 - Project 4 Psychometric functions in CNNs.mp4 |
76.46MB |
| 193 - Project 4 Psychometric functions in CNNs English.vtt |
14.69KB |
| 193 - Project 4 Psychometric functions in CNNs Vietnamese.vtt |
18.54KB |
| 194 - Transfer learning What why and when.mp4 |
58.18MB |
| 194 - Transfer learning What why and when English.vtt |
21.50KB |
| 194 - Transfer learning What why and when Vietnamese.vtt |
27.01KB |
| 195 - Transfer learning MNIST FMNIST.mp4 |
121.34MB |
| 195 - Transfer learning MNIST FMNIST English.vtt |
12.60KB |
| 195 - Transfer learning MNIST FMNIST Vietnamese.vtt |
15.55KB |
| 196 - CodeChallenge letters to numbers.mp4 |
131.86MB |
| 196 - CodeChallenge letters to numbers English.vtt |
18.61KB |
| 196 - CodeChallenge letters to numbers Vietnamese.vtt |
23.30KB |
| 197 - Famous CNN architectures.mp4 |
32.95MB |
| 197 - Famous CNN architectures English.vtt |
7.63KB |
| 197 - Famous CNN architectures Vietnamese.vtt |
9.07KB |
| 198 - Transfer learning with ResNet18.mp4 |
201.17MB |
| 198 - Transfer learning with ResNet18 English.vtt |
21.15KB |
| 198 - Transfer learning with ResNet18 Vietnamese.vtt |
26.50KB |
| 199 - CodeChallenge VGG16.mp4 |
20.28MB |
| 199 - CodeChallenge VGG16 English.vtt |
4.43KB |
| 199 - CodeChallenge VGG16 Vietnamese.vtt |
5.34KB |
| 19 - Softmax.mp4 |
101.37MB |
| 19 - Softmax English.vtt |
24.02KB |
| 19 - Softmax Vietnamese.vtt |
29.23KB |
| 1 - How to learn from this course.mp4 |
54.97MB |
| 1 - How to learn from this course English.vtt |
11.34KB |
| 1 - How to learn from this course Vietnamese.vtt |
13.97KB |
| 200 - Pretraining with autoencoders.mp4 |
208.64MB |
| 200 - Pretraining with autoencoders English.vtt |
24.91KB |
| 200 - Pretraining with autoencoders Vietnamese.vtt |
32.53KB |
| 201 - CIFAR10 with autoencoderpretrained model.mp4 |
166.90MB |
| 201 - CIFAR10 with autoencoderpretrained model English.vtt |
22.42KB |
| 201 - CIFAR10 with autoencoderpretrained model Vietnamese.vtt |
28.33KB |
| 202 - What is style transfer and how does it work.mp4 |
28.14MB |
| 202 - What is style transfer and how does it work English.vtt |
5.52KB |
| 202 - What is style transfer and how does it work Vietnamese.vtt |
7.00KB |
| 203 - The Gram matrix feature activation covariance.mp4 |
66.49MB |
| 203 - The Gram matrix feature activation covariance English.vtt |
14.63KB |
| 203 - The Gram matrix feature activation covariance Vietnamese.vtt |
18.10KB |
| 204 - The style transfer algorithm.mp4 |
40.70MB |
| 204 - The style transfer algorithm English.vtt |
13.10KB |
| 204 - The style transfer algorithm Vietnamese.vtt |
16.46KB |
| 205 - Transferring the screaming bathtub.mp4 |
344.76MB |
| 205 - Transferring the screaming bathtub English.vtt |
27.78KB |
| 205 - Transferring the screaming bathtub Vietnamese.vtt |
34.69KB |
| 206 - CodeChallenge Style transfer with AlexNet.mp4 |
81.43MB |
| 206 - CodeChallenge Style transfer with AlexNet English.vtt |
9.11KB |
| 206 - CodeChallenge Style transfer with AlexNet Vietnamese.vtt |
11.20KB |
| 207 - GAN What why and how.mp4 |
57.48MB |
| 207 - GAN What why and how English.vtt |
20.49KB |
| 207 - GAN What why and how Vietnamese.vtt |
26.24KB |
| 208 - Linear GAN with MNIST.mp4 |
188.18MB |
| 208 - Linear GAN with MNIST English.vtt |
27.51KB |
| 208 - Linear GAN with MNIST Vietnamese.vtt |
34.79KB |
| 209 - CodeChallenge Linear GAN with FMNIST.mp4 |
86.47MB |
| 209 - CodeChallenge Linear GAN with FMNIST English.vtt |
12.10KB |
| 209 - CodeChallenge Linear GAN with FMNIST Vietnamese.vtt |
15.40KB |
| 20 - Logarithms.mp4 |
29.20MB |
| 20 - Logarithms English.vtt |
9.98KB |
| 20 - Logarithms Vietnamese.vtt |
12.01KB |
| 210 - CNN GAN with Gaussians.mp4 |
214.18MB |
| 210 - CNN GAN with Gaussians English.vtt |
19.08KB |
| 210 - CNN GAN with Gaussians Vietnamese.vtt |
23.76KB |
| 211 - CodeChallenge Gaussians with fewer layers.mp4 |
84.33MB |
| 211 - CodeChallenge Gaussians with fewer layers English.vtt |
7.77KB |
| 211 - CodeChallenge Gaussians with fewer layers Vietnamese.vtt |
9.60KB |
| 212 - CNN GAN with FMNIST.mp4 |
74.70MB |
| 212 - CNN GAN with FMNIST English.vtt |
8.02KB |
| 212 - CNN GAN with FMNIST Vietnamese.vtt |
9.99KB |
| 213 - CodeChallenge CNN GAN with CIFAR.mp4 |
69.56MB |
| 213 - CodeChallenge CNN GAN with CIFAR English.vtt |
10.14KB |
| 213 - CodeChallenge CNN GAN with CIFAR Vietnamese.vtt |
12.88KB |
| 214 - Leveraging sequences in deep learning.mp4 |
91.62MB |
| 214 - Leveraging sequences in deep learning English.vtt |
16.32KB |
| 214 - Leveraging sequences in deep learning Vietnamese.vtt |
20.46KB |
| 215 - How RNNs work.mp4 |
45.65MB |
| 215 - How RNNs work English.vtt |
18.87KB |
| 215 - How RNNs work Vietnamese.vtt |
23.64KB |
| 216 - The RNN class in PyTorch.mp4 |
134.69MB |
| 216 - The RNN class in PyTorch English.vtt |
23.25KB |
| 216 - The RNN class in PyTorch Vietnamese.vtt |
29.01KB |
| 217 - Predicting alternating sequences.mp4 |
247.11MB |
| 217 - Predicting alternating sequences English.vtt |
24.90KB |
| 217 - Predicting alternating sequences Vietnamese.vtt |
32.07KB |
| 218 - CodeChallenge sine wave extrapolation.mp4 |
259.88MB |
| 218 - CodeChallenge sine wave extrapolation English.vtt |
33.55KB |
| 218 - CodeChallenge sine wave extrapolation Vietnamese.vtt |
41.84KB |
| 219 - More on RNNs Hidden states embeddings.mp4 |
94.25MB |
| 219 - More on RNNs Hidden states embeddings English.vtt |
19.88KB |
| 219 - More on RNNs Hidden states embeddings Vietnamese.vtt |
24.52KB |
| 21 - Entropy and crossentropy.mp4 |
85.39MB |
| 21 - Entropy and crossentropy English.vtt |
21.92KB |
| 21 - Entropy and crossentropy Vietnamese.vtt |
27.01KB |
| 220 - GRU and LSTM.mp4 |
137.50MB |
| 220 - GRU and LSTM English.vtt |
28.86KB |
| 220 - GRU and LSTM Vietnamese.vtt |
35.58KB |
| 221 - The LSTM and GRU classes.mp4 |
132.45MB |
| 221 - The LSTM and GRU classes English.vtt |
17.15KB |
| 221 - The LSTM and GRU classes Vietnamese.vtt |
21.26KB |
| 222 - Lorem ipsum.mp4 |
215.70MB |
| 222 - Lorem ipsum English.vtt |
32.20KB |
| 222 - Lorem ipsum Vietnamese.vtt |
39.77KB |
| 223 - Will AI save us or destroy us.mp4 |
37.16MB |
| 223 - Will AI save us or destroy us English.vtt |
12.48KB |
| 223 - Will AI save us or destroy us Vietnamese.vtt |
15.33KB |
| 224 - Example case studies.mp4 |
62.37MB |
| 224 - Example case studies English.vtt |
8.01KB |
| 224 - Example case studies Vietnamese.vtt |
10.17KB |
| 225 - Some other possible ethical scenarios.mp4 |
84.33MB |
| 225 - Some other possible ethical scenarios English.vtt |
13.25KB |
| 225 - Some other possible ethical scenarios Vietnamese.vtt |
17.13KB |
| 226 - Will deep learning take our jobs.mp4 |
53.00MB |
| 226 - Will deep learning take our jobs English.vtt |
12.94KB |
| 226 - Will deep learning take our jobs Vietnamese.vtt |
16.48KB |
| 227 - Accountability and making ethical AI.mp4 |
88.45MB |
| 227 - Accountability and making ethical AI English.vtt |
14.53KB |
| 227 - Accountability and making ethical AI Vietnamese.vtt |
18.87KB |
| 228 - How to learn topic X in deep learning.mp4 |
25.30MB |
| 228 - How to learn topic X in deep learning English.vtt |
10.75KB |
| 228 - How to learn topic X in deep learning Vietnamese.vtt |
13.24KB |
| 229 - How to read academic DL papers.mp4 |
222.01MB |
| 229 - How to read academic DL papers English.vtt |
21.91KB |
| 229 - How to read academic DL papers Vietnamese.vtt |
28.12KB |
| 22 - Minmax and argminargmax.mp4 |
68.97MB |
| 22 - Minmax and argminargmax English.vtt |
15.75KB |
| 22 - Minmax and argminargmax Vietnamese.vtt |
19.95KB |
| 230 - How to learn from the Python tutorial.mp4 |
17.53MB |
| 230 - How to learn from the Python tutorial English.vtt |
4.28KB |
| 230 - How to learn from the Python tutorial Vietnamese.vtt |
5.17KB |
| 231 - Variables.mp4 |
57.77MB |
| 231 - Variables English.vtt |
23.34KB |
| 231 - Variables Vietnamese.vtt |
29.34KB |
| 232 - Math and printing.mp4 |
51.13MB |
| 232 - Math and printing English.vtt |
22.90KB |
| 232 - Math and printing Vietnamese.vtt |
28.43KB |
| 233 - Lists 1 of 2.mp4 |
35.09MB |
| 233 - Lists 1 of 2 English.vtt |
17.46KB |
| 233 - Lists 1 of 2 Vietnamese.vtt |
22.00KB |
| 234 - Lists 2 of 2.mp4 |
33.47MB |
| 234 - Lists 2 of 2 English.vtt |
12.52KB |
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15.93KB |
| 235 - Tuples.mp4 |
22.17MB |
| 235 - Tuples English.vtt |
10.30KB |
| 235 - Tuples Vietnamese.vtt |
13.15KB |
| 236 - Booleans.mp4 |
64.57MB |
| 236 - Booleans English.vtt |
23.59KB |
| 236 - Booleans Vietnamese.vtt |
29.35KB |
| 237 - Dictionaries.mp4 |
33.00MB |
| 237 - Dictionaries English.vtt |
14.55KB |
| 237 - Dictionaries Vietnamese.vtt |
18.71KB |
| 238 - Indexing.mp4 |
32.92MB |
| 238 - Indexing English.vtt |
15.59KB |
| 238 - Indexing Vietnamese.vtt |
20.38KB |
| 239 - Slicing.mp4 |
39.95MB |
| 239 - Slicing English.vtt |
15.41KB |
| 239 - Slicing Vietnamese.vtt |
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| 23 - Mean and variance.mp4 |
47.05MB |
| 23 - Mean and variance English.vtt |
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24.70KB |
| 240 - Inputs and outputs.mp4 |
19.14MB |
| 240 - Inputs and outputs English.vtt |
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| 240 - Inputs and outputs Vietnamese.vtt |
11.68KB |
| 241 - Python libraries numpy.mp4 |
39.84MB |
| 241 - Python libraries numpy English.vtt |
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| 242 - Python libraries pandas.mp4 |
91.23MB |
| 242 - Python libraries pandas English.vtt |
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21.88KB |
| 243 - Getting help on functions.mp4 |
37.33MB |
| 243 - Getting help on functions English.vtt |
9.63KB |
| 243 - Getting help on functions Vietnamese.vtt |
12.17KB |
| 244 - Creating functions.mp4 |
57.33MB |
| 244 - Creating functions English.vtt |
26.51KB |
| 244 - Creating functions Vietnamese.vtt |
33.24KB |
| 245 - Global and local variable scopes.mp4 |
54.83MB |
| 245 - Global and local variable scopes English.vtt |
16.95KB |
| 245 - Global and local variable scopes Vietnamese.vtt |
20.80KB |
| 246 - Copies and referents of variables.mp4 |
15.07MB |
| 246 - Copies and referents of variables English.vtt |
6.35KB |
| 246 - Copies and referents of variables Vietnamese.vtt |
8.19KB |
| 247 - Classes and objectoriented programming.mp4 |
88.49MB |
| 247 - Classes and objectoriented programming English.vtt |
22.98KB |
| 247 - Classes and objectoriented programming Vietnamese.vtt |
29.11KB |
| 248 - Ifelse statements.mp4 |
43.21MB |
| 248 - Ifelse statements English.vtt |
18.56KB |
| 248 - Ifelse statements Vietnamese.vtt |
23.08KB |
| 249 - Ifelse statements part 2.mp4 |
76.31MB |
| 249 - Ifelse statements part 2 English.vtt |
19.71KB |
| 249 - Ifelse statements part 2 Vietnamese.vtt |
24.78KB |
| 24 - Random sampling and sampling variability.mp4 |
63.20MB |
| 24 - Random sampling and sampling variability English.vtt |
14.18KB |
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17.87KB |
| 250 - For loops.mp4 |
64.36MB |
| 250 - For loops English.vtt |
21.74KB |
| 250 - For loops Vietnamese.vtt |
26.93KB |
| 251 - Enumerate and zip.mp4 |
58.59MB |
| 251 - Enumerate and zip English.vtt |
13.81KB |
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17.78KB |
| 252 - Continue.mp4 |
20.68MB |
| 252 - Continue English.vtt |
8.76KB |
| 252 - Continue Vietnamese.vtt |
11.00KB |
| 253 - Initializing variables.mp4 |
67.39MB |
| 253 - Initializing variables English.vtt |
22.09KB |
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28.66KB |
| 254 - Singleline loops list comprehension.mp4 |
61.91MB |
| 254 - Singleline loops list comprehension English.vtt |
18.72KB |
| 254 - Singleline loops list comprehension Vietnamese.vtt |
23.68KB |
| 255 - while loops.mp4 |
68.40MB |
| 255 - while loops English.vtt |
24.05KB |
| 255 - while loops Vietnamese.vtt |
29.67KB |
| 256 - Broadcasting in numpy.mp4 |
52.46MB |
| 256 - Broadcasting in numpy English.vtt |
18.35KB |
| 256 - Broadcasting in numpy Vietnamese.vtt |
22.99KB |
| 257 - Function error checking and handling.mp4 |
111.63MB |
| 257 - Function error checking and handling English.vtt |
21.84KB |
| 257 - Function error checking and handling Vietnamese.vtt |
27.51KB |
| 258 - Printing and string interpolation.mp4 |
69.01MB |
| 258 - Printing and string interpolation English.vtt |
20.99KB |
| 258 - Printing and string interpolation Vietnamese.vtt |
26.36KB |
| 259 - Plotting dots and lines.mp4 |
40.07MB |
| 259 - Plotting dots and lines English.vtt |
15.24KB |
| 259 - Plotting dots and lines Vietnamese.vtt |
19.80KB |
| 25 - Reproducible randomness via seeding.mp4 |
75.55MB |
| 25 - Reproducible randomness via seeding English.vtt |
10.23KB |
| 25 - Reproducible randomness via seeding Vietnamese.vtt |
13.07KB |
| 260 - Subplot geometry.mp4 |
70.36MB |
| 260 - Subplot geometry English.vtt |
19.88KB |
| 260 - Subplot geometry Vietnamese.vtt |
25.30KB |
| 261 - Making the graphs look nicer.mp4 |
87.10MB |
| 261 - Making the graphs look nicer English.vtt |
23.25KB |
| 261 - Making the graphs look nicer Vietnamese.vtt |
29.22KB |
| 262 - Seaborn.mp4 |
50.90MB |
| 262 - Seaborn English.vtt |
13.67KB |
| 262 - Seaborn Vietnamese.vtt |
17.64KB |
| 263 - Images.mp4 |
104.10MB |
| 263 - Images English.vtt |
22.06KB |
| 263 - Images Vietnamese.vtt |
27.48KB |
| 264 - Export plots in low and high resolution.mp4 |
56.25MB |
| 264 - Export plots in low and high resolution English.vtt |
9.83KB |
| 264 - Export plots in low and high resolution Vietnamese.vtt |
12.57KB |
| 265 - Bonus content.html |
3.83KB |
| 26 - The ttest.mp4 |
88.25MB |
| 26 - The ttest English.vtt |
16.88KB |
| 26 - The ttest Vietnamese.vtt |
21.31KB |
| 27 - Derivatives intuition and polynomials.mp4 |
46.22MB |
| 27 - Derivatives intuition and polynomials English.vtt |
21.00KB |
| 27 - Derivatives intuition and polynomials Vietnamese.vtt |
25.00KB |
| 28 - Derivatives find minima.mp4 |
26.02MB |
| 28 - Derivatives find minima English.vtt |
10.54KB |
| 28 - Derivatives find minima Vietnamese.vtt |
12.92KB |
| 29 - Derivatives product and chain rules.mp4 |
37.03MB |
| 29 - Derivatives product and chain rules English.vtt |
11.80KB |
| 29 - Derivatives product and chain rules Vietnamese.vtt |
14.20KB |
| 2 - Using Udemy like a pro.mp4 |
38.09MB |
| 2 - Using Udemy like a pro English.vtt |
10.64KB |
| 2 - Using Udemy like a pro Vietnamese.vtt |
13.72KB |
| 30 - Overview of gradient descent.mp4 |
54.34MB |
| 30 - Overview of gradient descent English.vtt |
18.04KB |
| 30 - Overview of gradient descent Vietnamese.vtt |
22.28KB |
| 31 - What about local minima.mp4 |
38.09MB |
| 31 - What about local minima English.vtt |
14.92KB |
| 31 - What about local minima Vietnamese.vtt |
19.02KB |
| 32 - Gradient descent in 1D.mp4 |
131.39MB |
| 32 - Gradient descent in 1D English.vtt |
21.23KB |
| 32 - Gradient descent in 1D Vietnamese.vtt |
26.70KB |
| 33 - CodeChallenge unfortunate starting value.mp4 |
85.91MB |
| 33 - CodeChallenge unfortunate starting value English.vtt |
13.76KB |
| 33 - CodeChallenge unfortunate starting value Vietnamese.vtt |
17.24KB |
| 34 - Gradient descent in 2D.mp4 |
96.38MB |
| 34 - Gradient descent in 2D English.vtt |
18.66KB |
| 34 - Gradient descent in 2D Vietnamese.vtt |
22.56KB |
| 35 - CodeChallenge 2D gradient ascent.mp4 |
43.38MB |
| 35 - CodeChallenge 2D gradient ascent English.vtt |
6.54KB |
| 35 - CodeChallenge 2D gradient ascent Vietnamese.vtt |
8.23KB |
| 36 - Parametric experiments on gd.mp4 |
151.40MB |
| 36 - Parametric experiments on gd English.vtt |
23.56KB |
| 36 - Parametric experiments on gd Vietnamese.vtt |
29.85KB |
| 37 - CodeChallenge fixed vs dynamic learning rate.mp4 |
126.18MB |
| 37 - CodeChallenge fixed vs dynamic learning rate English.vtt |
20.21KB |
| 37 - CodeChallenge fixed vs dynamic learning rate Vietnamese.vtt |
25.18KB |
| 38 - Vanishing and exploding gradients.mp4 |
31.70MB |
| 38 - Vanishing and exploding gradients English.vtt |
7.85KB |
| 38 - Vanishing and exploding gradients Vietnamese.vtt |
10.21KB |
| 39 - Tangent Notebook revision history.mp4 |
25.15MB |
| 39 - Tangent Notebook revision history English.vtt |
2.41KB |
| 39 - Tangent Notebook revision history Vietnamese.vtt |
3.07KB |
| 3 - Code on my github site.txt |
61B |
| 3 - Downloading and using the code.mp4 |
52.56MB |
| 3 - Downloading and using the code English.vtt |
8.17KB |
| 3 - Downloading and using the code Vietnamese.vtt |
9.64KB |
| 3 - DUDL-PythonCode.zip |
1.34MB |
| 40 - The perceptron and ANN architecture.mp4 |
50.73MB |
| 40 - The perceptron and ANN architecture English.vtt |
24.18KB |
| 40 - The perceptron and ANN architecture Vietnamese.vtt |
30.54KB |
| 41 - A geometric view of ANNs.mp4 |
42.91MB |
| 41 - A geometric view of ANNs English.vtt |
16.83KB |
| 41 - A geometric view of ANNs Vietnamese.vtt |
20.98KB |
| 42 - ANN math part 1 forward prop.mp4 |
43.94MB |
| 42 - ANN math part 1 forward prop English.vtt |
19.28KB |
| 42 - ANN math part 1 forward prop Vietnamese.vtt |
23.92KB |
| 43 - ANN math part 2 errors loss cost.mp4 |
52.20MB |
| 43 - ANN math part 2 errors loss cost English.vtt |
12.13KB |
| 43 - ANN math part 2 errors loss cost Vietnamese.vtt |
14.81KB |
| 44 - ANN math part 3 backprop.mp4 |
37.62MB |
| 44 - ANN math part 3 backprop English.vtt |
13.36KB |
| 44 - ANN math part 3 backprop Vietnamese.vtt |
16.35KB |
| 45 - ANN for regression.mp4 |
105.27MB |
| 45 - ANN for regression English.vtt |
30.97KB |
| 45 - ANN for regression Vietnamese.vtt |
39.46KB |
| 46 - CodeChallenge manipulate regression slopes.mp4 |
150.19MB |
| 46 - CodeChallenge manipulate regression slopes English.vtt |
24.46KB |
| 46 - CodeChallenge manipulate regression slopes Vietnamese.vtt |
30.57KB |
| 47 - ANN for classifying qwerties.mp4 |
196.24MB |
| 47 - ANN for classifying qwerties English.vtt |
29.72KB |
| 47 - ANN for classifying qwerties Vietnamese.vtt |
37.47KB |
| 48 - Learning rates comparison.mp4 |
168.64MB |
| 48 - Learning rates comparison English.vtt |
31.13KB |
| 48 - Learning rates comparison Vietnamese.vtt |
39.38KB |
| 49 - Multilayer ANN.mp4 |
160.21MB |
| 49 - Multilayer ANN English.vtt |
25.33KB |
| 49 - Multilayer ANN Vietnamese.vtt |
30.89KB |
| 4 - My policy on codesharing.mp4 |
5.63MB |
| 4 - My policy on codesharing English.vtt |
2.20KB |
| 4 - My policy on codesharing Vietnamese.vtt |
2.73KB |
| 50 - Linear solutions to linear problems.mp4 |
54.56MB |
| 50 - Linear solutions to linear problems English.vtt |
10.62KB |
| 50 - Linear solutions to linear problems Vietnamese.vtt |
13.69KB |
| 51 - Why multilayer linear models dont exist.mp4 |
27.20MB |
| 51 - Why multilayer linear models dont exist English.vtt |
8.01KB |
| 51 - Why multilayer linear models dont exist Vietnamese.vtt |
9.93KB |
| 52 - Multioutput ANN iris dataset.mp4 |
215.05MB |
| 52 - Multioutput ANN iris dataset English.vtt |
34.55KB |
| 52 - Multioutput ANN iris dataset Vietnamese.vtt |
42.64KB |
| 53 - CodeChallenge more qwerties.mp4 |
127.13MB |
| 53 - CodeChallenge more qwerties English.vtt |
15.41KB |
| 53 - CodeChallenge more qwerties Vietnamese.vtt |
18.72KB |
| 54 - Comparing the number of hidden units.mp4 |
49.40MB |
| 54 - Comparing the number of hidden units English.vtt |
12.64KB |
| 54 - Comparing the number of hidden units Vietnamese.vtt |
15.54KB |
| 55 - Depth vs breadth number of parameters.mp4 |
149.11MB |
| 55 - Depth vs breadth number of parameters English.vtt |
22.16KB |
| 55 - Depth vs breadth number of parameters Vietnamese.vtt |
27.34KB |
| 56 - Defining models using sequential vs class.mp4 |
97.84MB |
| 56 - Defining models using sequential vs class English.vtt |
16.59KB |
| 56 - Defining models using sequential vs class Vietnamese.vtt |
20.79KB |
| 57 - Model depth vs breadth.mp4 |
177.40MB |
| 57 - Model depth vs breadth English.vtt |
26.63KB |
| 57 - Model depth vs breadth Vietnamese.vtt |
32.86KB |
| 58 - CodeChallenge convert sequential to class.mp4 |
57.09MB |
| 58 - CodeChallenge convert sequential to class English.vtt |
8.45KB |
| 58 - CodeChallenge convert sequential to class Vietnamese.vtt |
10.48KB |
| 59 - Diversity of ANN visual representations.html |
517B |
| 5 - What is an artificial neural network.mp4 |
40.10MB |
| 5 - What is an artificial neural network English.vtt |
18.58KB |
| 5 - What is an artificial neural network Vietnamese.vtt |
23.27KB |
| 60 - Reflection Are DL models understandable yet.mp4 |
76.81MB |
| 60 - Reflection Are DL models understandable yet English.vtt |
10.89KB |
| 60 - Reflection Are DL models understandable yet Vietnamese.vtt |
13.88KB |
| 61 - What is overfitting and is it as bad as they say.mp4 |
76.96MB |
| 61 - What is overfitting and is it as bad as they say English.vtt |
15.93KB |
| 61 - What is overfitting and is it as bad as they say Vietnamese.vtt |
20.67KB |
| 62 - Crossvalidation.mp4 |
68.26MB |
| 62 - Crossvalidation English.vtt |
21.66KB |
| 62 - Crossvalidation Vietnamese.vtt |
27.94KB |
| 63 - Generalization.mp4 |
18.95MB |
| 63 - Generalization English.vtt |
7.72KB |
| 63 - Generalization Vietnamese.vtt |
9.78KB |
| 64 - Crossvalidation manual separation.mp4 |
108.70MB |
| 64 - Crossvalidation manual separation English.vtt |
16.07KB |
| 64 - Crossvalidation manual separation Vietnamese.vtt |
20.67KB |
| 65 - Crossvalidation scikitlearn.mp4 |
159.59MB |
| 65 - Crossvalidation scikitlearn English.vtt |
26.26KB |
| 65 - Crossvalidation scikitlearn Vietnamese.vtt |
34.06KB |
| 66 - Crossvalidation DataLoader.mp4 |
188.55MB |
| 66 - Crossvalidation DataLoader English.vtt |
24.71KB |
| 66 - Crossvalidation DataLoader Vietnamese.vtt |
32.71KB |
| 67 - Splitting data into train devset test.mp4 |
86.95MB |
| 67 - Splitting data into train devset test English.vtt |
12.00KB |
| 67 - Splitting data into train devset test Vietnamese.vtt |
15.19KB |
| 68 - Crossvalidation on regression.mp4 |
41.13MB |
| 68 - Crossvalidation on regression English.vtt |
10.37KB |
| 68 - Crossvalidation on regression Vietnamese.vtt |
13.14KB |
| 69 - Regularization Concept and methods.mp4 |
88.60MB |
| 69 - Regularization Concept and methods English.vtt |
16.63KB |
| 69 - Regularization Concept and methods Vietnamese.vtt |
20.89KB |
| 6 - How models learn.mp4 |
51.11MB |
| 6 - How models learn English.vtt |
16.29KB |
| 6 - How models learn Vietnamese.vtt |
20.63KB |
| 70 - train and eval modes.mp4 |
22.80MB |
| 70 - train and eval modes English.vtt |
8.91KB |
| 70 - train and eval modes Vietnamese.vtt |
10.97KB |
| 71 - Dropout regularization.mp4 |
151.92MB |
| 71 - Dropout regularization English.vtt |
27.35KB |
| 71 - Dropout regularization Vietnamese.vtt |
35.28KB |
| 72 - Dropout regularization in practice.mp4 |
201.41MB |
| 72 - Dropout regularization in practice English.vtt |
28.83KB |
| 72 - Dropout regularization in practice Vietnamese.vtt |
36.31KB |
| 73 - Dropout example 2.mp4 |
60.78MB |
| 73 - Dropout example 2 English.vtt |
7.97KB |
| 73 - Dropout example 2 Vietnamese.vtt |
9.94KB |
| 74 - Weight regularization L1L2 math.mp4 |
65.46MB |
| 74 - Weight regularization L1L2 math English.vtt |
23.45KB |
| 74 - Weight regularization L1L2 math Vietnamese.vtt |
29.01KB |
| 75 - L2 regularization in practice.mp4 |
123.28MB |
| 75 - L2 regularization in practice English.vtt |
16.45KB |
| 75 - L2 regularization in practice Vietnamese.vtt |
20.82KB |
| 76 - L1 regularization in practice.mp4 |
110.09MB |
| 76 - L1 regularization in practice English.vtt |
15.11KB |
| 76 - L1 regularization in practice Vietnamese.vtt |
19.13KB |
| 77 - Training in minibatches.mp4 |
35.41MB |
| 77 - Training in minibatches English.vtt |
14.59KB |
| 77 - Training in minibatches Vietnamese.vtt |
18.51KB |
| 78 - Batch training in action.mp4 |
120.24MB |
| 78 - Batch training in action English.vtt |
13.54KB |
| 78 - Batch training in action Vietnamese.vtt |
17.03KB |
| 79 - The importance of equal batch sizes.mp4 |
82.14MB |
| 79 - The importance of equal batch sizes English.vtt |
8.24KB |
| 79 - The importance of equal batch sizes Vietnamese.vtt |
10.40KB |
| 7 - The role of DL in science and knowledge.mp4 |
127.10MB |
| 7 - The role of DL in science and knowledge English.vtt |
20.29KB |
| 7 - The role of DL in science and knowledge Vietnamese.vtt |
25.90KB |
| 80 - CodeChallenge Effects of minibatch size.mp4 |
130.36MB |
| 80 - CodeChallenge Effects of minibatch size English.vtt |
15.68KB |
| 80 - CodeChallenge Effects of minibatch size Vietnamese.vtt |
19.75KB |
| 81 - What are metaparameters.mp4 |
18.66MB |
| 81 - What are metaparameters English.vtt |
6.47KB |
| 81 - What are metaparameters Vietnamese.vtt |
7.95KB |
| 82 - The wine quality dataset.mp4 |
194.40MB |
| 82 - The wine quality dataset English.vtt |
22.28KB |
| 82 - The wine quality dataset Vietnamese.vtt |
28.19KB |
| 83 - CodeChallenge Minibatch size in the wine dataset.mp4 |
160.37MB |
| 83 - CodeChallenge Minibatch size in the wine dataset English.vtt |
20.03KB |
| 83 - CodeChallenge Minibatch size in the wine dataset Vietnamese.vtt |
25.39KB |
| 84 - Data normalization.mp4 |
62.45MB |
| 84 - Data normalization English.vtt |
17.07KB |
| 84 - Data normalization Vietnamese.vtt |
21.57KB |
| 85 - The importance of data normalization.mp4 |
72.74MB |
| 85 - The importance of data normalization English.vtt |
12.02KB |
| 85 - The importance of data normalization Vietnamese.vtt |
15.01KB |
| 86 - Batch normalization.mp4 |
54.45MB |
| 86 - Batch normalization English.vtt |
16.35KB |
| 86 - Batch normalization Vietnamese.vtt |
20.47KB |
| 87 - Batch normalization in practice.mp4 |
70.03MB |
| 87 - Batch normalization in practice English.vtt |
9.61KB |
| 87 - Batch normalization in practice Vietnamese.vtt |
12.13KB |
| 88 - CodeChallenge Batchnormalize the qwerties.mp4 |
64.88MB |
| 88 - CodeChallenge Batchnormalize the qwerties English.vtt |
6.52KB |
| 88 - CodeChallenge Batchnormalize the qwerties Vietnamese.vtt |
8.24KB |
| 89 - Activation functions.mp4 |
121.06MB |
| 89 - Activation functions English.vtt |
23.00KB |
| 89 - Activation functions Vietnamese.vtt |
28.24KB |
| 8 - Running experiments to understand DL.mp4 |
74.84MB |
| 8 - Running experiments to understand DL English.vtt |
16.76KB |
| 8 - Running experiments to understand DL Vietnamese.vtt |
21.04KB |
| 90 - Activation functions in PyTorch.mp4 |
101.28MB |
| 90 - Activation functions in PyTorch English.vtt |
14.80KB |
| 90 - Activation functions in PyTorch Vietnamese.vtt |
18.54KB |
| 91 - Activation functions comparison.mp4 |
112.74MB |
| 91 - Activation functions comparison English.vtt |
11.79KB |
| 91 - Activation functions comparison Vietnamese.vtt |
14.88KB |
| 92 - CodeChallenge Compare relu variants.mp4 |
63.97MB |
| 92 - CodeChallenge Compare relu variants English.vtt |
9.82KB |
| 92 - CodeChallenge Compare relu variants Vietnamese.vtt |
12.24KB |
| 93 - CodeChallenge Predict sugar.mp4 |
134.25MB |
| 93 - CodeChallenge Predict sugar English.vtt |
21.64KB |
| 93 - CodeChallenge Predict sugar Vietnamese.vtt |
27.71KB |
| 94 - Loss functions.mp4 |
96.20MB |
| 94 - Loss functions English.vtt |
21.12KB |
| 94 - Loss functions Vietnamese.vtt |
25.56KB |
| 95 - Loss functions in PyTorch.mp4 |
154.73MB |
| 95 - Loss functions in PyTorch English.vtt |
23.15KB |
| 95 - Loss functions in PyTorch Vietnamese.vtt |
28.93KB |
| 96 - More practice with multioutput ANNs.mp4 |
109.96MB |
| 96 - More practice with multioutput ANNs English.vtt |
17.60KB |
| 96 - More practice with multioutput ANNs Vietnamese.vtt |
21.86KB |
| 97 - Optimizers minibatch momentum.mp4 |
59.43MB |
| 97 - Optimizers minibatch momentum English.vtt |
23.78KB |
| 97 - Optimizers minibatch momentum Vietnamese.vtt |
30.52KB |
| 98 - SGD with momentum.mp4 |
62.10MB |
| 98 - SGD with momentum English.vtt |
9.97KB |
| 98 - SGD with momentum Vietnamese.vtt |
12.92KB |
| 99 - Optimizers RMSprop Adam.mp4 |
52.52MB |
| 99 - Optimizers RMSprop Adam English.vtt |
19.10KB |
| 99 - Optimizers RMSprop Adam Vietnamese.vtt |
24.11KB |
| 9 - Are artificial neurons like biological neurons.mp4 |
85.20MB |
| 9 - Are artificial neurons like biological neurons English.vtt |
20.98KB |
| 9 - Are artificial neurons like biological neurons Vietnamese.vtt |
27.44KB |