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| 001. Convolution Revisited.mp4 |
27.19Мб |
| 001. Course Overview.mp4 |
48.80Мб |
| 001. Example Setup.mp4 |
23.67Мб |
| 001. Gray-Scale Images.mp4 |
37.23Мб |
| 001. Image Classification Revisited.mp4 |
20.46Мб |
| 001. Introduction to Object Detection.mp4 |
35.74Мб |
| 001. Introduction to TensorFlow.mp4 |
29.46Мб |
| 001. LeNet.mp4 |
21.75Мб |
| 001. Neuron and Perceptron.mp4 |
44.52Мб |
| 001. Problem Setup.mp4 |
29.98Мб |
| 001. Problem Setup.mp4 |
112.85Мб |
| 001. What Is Transfer learning.mp4 |
26.36Мб |
| 002. Classification Pipeline.mp4 |
43.89Мб |
| 002. DNN Architecture.mp4 |
27.28Мб |
| 002. FashionMNIST Example Plan Neural Network.mp4 |
89.38Мб |
| 002. Gray-Scale Images Quiz.mp4 |
4.16Мб |
| 002. Implementation TensorFlow Hub.mp4 |
42.59Мб |
| 002. Implementing Convolution in Python Revisited.mp4 |
25.62Мб |
| 002. Introduction to Instructor.mp4 |
13.68Мб |
| 002. LeNet Quiz.mp4 |
6.22Мб |
| 002. Project Implementation.mp4 |
71.52Мб |
| 002. Sliding Window Object Localization.mp4 |
34.16Мб |
| 002. Why Derivatives.mp4 |
38.93Мб |
| 002. Why Transfer Learning.mp4 |
39.11Мб |
| 003. Classification Pipeline Quiz.mp4 |
4.22Мб |
| 003. DNN Architecture Quiz.mp4 |
5.79Мб |
| 003. Face Verification Activity.mp4 |
4.61Мб |
| 003. FashionMNIST Example CNN.mp4 |
95.32Мб |
| 003. Gray-Scale Images Solution.mp4 |
4.91Мб |
| 003. ImageNet Challenge.mp4 |
42.58Мб |
| 003. LeNet Solution.mp4 |
8.68Мб |
| 003. Sliding Window Efficient Implementation.mp4 |
27.16Мб |
| 003. Thank You and Conclusion.mp4 |
12.31Мб |
| 003. Why CNN.mp4 |
82.84Мб |
| 003. Why Convolution.mp4 |
21.96Мб |
| 003. Why Derivatives Quiz.mp4 |
5.35Мб |
| 004. AlexNet.mp4 |
32.33Мб |
| 004. Classification Pipeline Solution.mp4 |
5.19Мб |
| 004. DNN Architecture Solution.mp4 |
7.13Мб |
| 004. Filters Padding Strides.mp4 |
27.92Мб |
| 004. Focus of the Course.mp4 |
21.93Мб |
| 004. Introduction to TensorFlow Activity.mp4 |
4.94Мб |
| 004. Practical Tips.mp4 |
22.70Мб |
| 004. RGB Images.mp4 |
30.38Мб |
| 004. Why Derivatives Solution.mp4 |
11.01Мб |
| 004. YOLO Introduction.mp4 |
34.72Мб |
| 005. FeedForward FullyConnected MLP.mp4 |
16.69Мб |
| 005. Padding Image.mp4 |
30.90Мб |
| 005. Project in TensorFlow.mp4 |
149.67Мб |
| 005. RGB Images Quiz.mp4 |
4.60Мб |
| 005. Sliding Window Implementation.mp4 |
24.97Мб |
| 005. VGG.mp4 |
19.01Мб |
| 005. What Is Chain Rule.mp4 |
29.53Мб |
| 005. YOLO Training Data Generation.mp4 |
26.96Мб |
| 006. Applying Chain Rule.mp4 |
38.54Мб |
| 006. Calculating Number of Weights of DNN.mp4 |
22.37Мб |
| 006. InceptionNet.mp4 |
30.02Мб |
| 006. Pooling Tensors.mp4 |
22.42Мб |
| 006. RGB Images Solution.mp4 |
5.02Мб |
| 006. Shift Scale Rotation Invariance.mp4 |
47.00Мб |
| 006. Transfer Learning Activity.mp4 |
4.96Мб |
| 006. YOLO Anchor Boxes.mp4 |
43.60Мб |
| 007. Calculating Number of Weights of DNN Quiz.mp4 |
4.52Мб |
| 007. CNN Example.mp4 |
23.00Мб |
| 007. GoogLeNet.mp4 |
18.38Мб |
| 007. Gradients of MaxPooling Layer.mp4 |
33.87Мб |
| 007. Reading and Showing Images in Python.mp4 |
37.77Мб |
| 007. Shift Scale Rotation Invariance Exercise.mp4 |
58.64Мб |
| 007. YOLO Algorithm.mp4 |
29.52Мб |
| 008. Calculating Number of Weights of DNN Solution.mp4 |
7.08Мб |
| 008. Convolution and Pooling Details.mp4 |
26.97Мб |
| 008. Gradients of MaxPooling Layer Quiz.mp4 |
5.83Мб |
| 008. Person Detection.mp4 |
43.12Мб |
| 008. Reading and Showing Images in Python Quiz.mp4 |
4.07Мб |
| 008. Resnet.mp4 |
31.34Мб |
| 008. YOLO Non-Maxima Suppression.mp4 |
32.63Мб |
| 009. Classical CNNs Activity.mp4 |
4.85Мб |
| 009. Gradients of MaxPooling Layer Solution.mp4 |
8.15Мб |
| 009. HOG Features.mp4 |
38.04Мб |
| 009. MaxPooling Exercise.mp4 |
11.68Мб |
| 009. Number of Neurons Versus Number of Layers.mp4 |
25.11Мб |
| 009. RCNN.mp4 |
12.44Мб |
| 009. Reading and Showing Images in Python Solution.mp4 |
4.36Мб |
| 010. Converting an Image to Grayscale in Python.mp4 |
29.93Мб |
| 010. Discriminative Versus Generative Learning.mp4 |
22.61Мб |
| 010. Gradients of Convolutional Layer.mp4 |
38.03Мб |
| 010. HOG Features Exercise.mp4 |
28.57Мб |
| 010. NonVectorized Implementations of Conv2d and Pool2d.mp4 |
69.20Мб |
| 010. YOLO Activity.mp4 |
5.26Мб |
| 011. Converting an Image to Grayscale in Python Quiz.mp4 |
4.43Мб |
| 011. Deep Neural Network Architecture Activity.mp4 |
7.94Мб |
| 011. Extending to Multiple Filters.mp4 |
16.04Мб |
| 011. Hand Engineering Versus CNNs.mp4 |
30.05Мб |
| 011. Universal Approximation Theorem.mp4 |
31.36Мб |
| 012. Converting an Image to Grayscale in Python Solution.mp4 |
5.41Мб |
| 012. Extending to Multiple Layers.mp4 |
27.43Мб |
| 012. Object Detection Activity.mp4 |
18.48Мб |
| 012. Why Depth.mp4 |
12.78Мб |
| 013. Decision Boundary in DNN.mp4 |
22.09Мб |
| 013. Extending to Multiple Layers Quiz.mp4 |
7.80Мб |
| 013. Image Formation.mp4 |
19.38Мб |
| 014. Decision Boundary in DNN Quiz.mp4 |
6.03Мб |
| 014. Extending to Multiple Layers Solution.mp4 |
26.13Мб |
| 014. Image Formation Quiz.mp4 |
4.45Мб |
| 015. Decision Boundary in DNN Solution.mp4 |
12.91Мб |
| 015. Image Formation Solution.mp4 |
4.48Мб |
| 015. Implementation in NumPy ForwardPass.mp4 |
30.70Мб |
| 016. BiasTerm.mp4 |
28.83Мб |
| 016. Image Blurring 1.mp4 |
45.63Мб |
| 016. Implementation in NumPy BackwardPass 1.mp4 |
24.99Мб |
| 017. BiasTerm Quiz.mp4 |
4.50Мб |
| 017. Image Blurring 1 Quiz.mp4 |
5.05Мб |
| 017. Implementation in NumPy BackwardPass 2.mp4 |
17.09Мб |
| 018. BiasTerm Solution.mp4 |
5.54Мб |
| 018. Image Blurring 1 Solution.mp4 |
4.54Мб |
| 018. Implementation in NumPy BackwardPass 3.mp4 |
32.59Мб |
| 019. Activation Function.mp4 |
30.36Мб |
| 019. Image Blurring 2.mp4 |
39.06Мб |
| 019. Implementation in NumPy BackwardPass 4.mp4 |
49.57Мб |
| 020. Activation Function Quiz.mp4 |
4.66Мб |
| 020. Image Blurring 2 Quiz.mp4 |
4.42Мб |
| 020. Implementation in NumPy BackwardPass 5.mp4 |
80.87Мб |
| 021. Activation Function Solution.mp4 |
6.27Мб |
| 021. Gradient Descent in CNNs Activity.mp4 |
7.77Мб |
| 021. Image Blurring 2 Solution.mp4 |
5.32Мб |
| 022. DNN Training Parameters.mp4 |
37.19Мб |
| 022. General Image Filtering.mp4 |
19.17Мб |
| 023. Convolution.mp4 |
22.76Мб |
| 023. DNN Training Parameters Quiz.mp4 |
4.62Мб |
| 024. DNN Training Parameters Solution.mp4 |
4.87Мб |
| 024. Edge Detection.mp4 |
29.17Мб |
| 025. Gradient Descent.mp4 |
29.02Мб |
| 025. Image Sharpening.mp4 |
19.62Мб |
| 026. Backpropagation.mp4 |
40.28Мб |
| 026. Implementation of Image Blurring Edge Detection Image Sharpening in Python.mp4 |
65.01Мб |
| 027. Parametric Shape Detection.mp4 |
34.16Мб |
| 027. Training DNN Animation.mp4 |
22.43Мб |
| 028. Image Processing.mp4 |
15.08Мб |
| 028. Weight Initialization.mp4 |
45.00Мб |
| 029. Image Processing Activity.mp4 |
10.83Мб |
| 029. Weight Initialization Quiz.mp4 |
4.60Мб |
| 030. Image Processing Activity Solution.mp4 |
44.55Мб |
| 030. Weight Initialization Solution.mp4 |
5.60Мб |
| 031. Batch MiniBatch Stochastic Gradient Descent.mp4 |
34.18Мб |
| 032. Batch Normalization.mp4 |
22.01Мб |
| 033. Rprop and Momentum.mp4 |
57.97Мб |
| 034. Rprop and Momentum Quiz.mp4 |
6.01Мб |
| 035. Rprop and Momentum Solution.mp4 |
6.52Мб |
| 036. Convergence Animation.mp4 |
32.24Мб |
| 037. DropOut, Early Stopping and Hyperparameters.mp4 |
51.08Мб |
| 038. DropOut, Early Stopping and Hyperparameters Quiz.mp4 |
5.76Мб |
| 039. DropOut, Early Stopping and Hyperparameters Solution.mp4 |
8.50Мб |
| Bonus Resources.txt |
386б |
| Get Bonus Downloads Here.url |
183б |