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585б |
001 What does the course cover_.en.srt |
9.27Кб |
001 What does the course cover_.mp4 |
57.87Мб |
002 Why CNNs_.en.srt |
5.73Кб |
002 Why CNNs_.mp4 |
38.12Мб |
003 Introduction to image kernels.en.srt |
4.25Кб |
003 Introduction to image kernels.mp4 |
27.91Мб |
004 How do image transformations work_.en.srt |
10.57Кб |
004 How do image transformations work_.mp4 |
52.73Мб |
005 Kernels as matrices.en.srt |
3.40Кб |
005 Kernels as matrices.mp4 |
21.84Мб |
006 Convolution - applying kernels.en.srt |
3.48Кб |
006 Convolution - applying kernels.mp4 |
26.26Мб |
007 Edge handling.en.srt |
3.98Кб |
007 Edge handling.mp4 |
19.19Мб |
008 CNNs motivation.en.srt |
11.80Кб |
008 CNNs motivation.mp4 |
61.29Мб |
009 Feature maps.en.srt |
11.18Кб |
009 Feature maps.mp4 |
67.65Мб |
010 Pooling and Stride.en.srt |
8.98Кб |
010 Pooling and Stride.mp4 |
57.93Мб |
011 Dimensions.en.srt |
4.42Кб |
011 Dimensions.mp4 |
28.74Мб |
012 Activation functions.en.srt |
7.05Кб |
012 Activation functions.mp4 |
39.35Мб |
013 Overfitting and early stopping.en.srt |
3.12Кб |
013 Overfitting and early stopping.mp4 |
19.28Мб |
014 Optimizers.en.srt |
4.12Кб |
014 Optimizers.mp4 |
27.51Мб |
015 Setting up the environment - Do not skip, please!.en.srt |
1.39Кб |
015 Setting up the environment - Do not skip, please!.mp4 |
5.27Мб |
016 Why Python and why Jupyter_.en.srt |
6.62Кб |
016 Why Python and why Jupyter_.mp4 |
32.04Мб |
017 Installing Anaconda.en.srt |
5.28Кб |
017 Installing Anaconda.mp4 |
28.15Мб |
018 Jupyter Dashboard - Part 1.en.srt |
3.13Кб |
018 Jupyter Dashboard - Part 1.mp4 |
8.70Мб |
019 Jupyter Dashboard - Part 2.en.srt |
7.12Кб |
019 Jupyter Dashboard - Part 2.mp4 |
18.79Мб |
020 Installing the packages.en.srt |
1.95Кб |
020 Installing the packages.mp4 |
15.10Мб |
021 Road plan.en.srt |
5.10Кб |
021 Road plan.mp4 |
24.13Мб |
022 A simple CNN architecture.en.srt |
16.36Кб |
022 A simple CNN architecture.mp4 |
69.58Мб |
023 Preprocessing the data.en.srt |
16.23Кб |
023 Preprocessing the data.mp4 |
62.10Мб |
024 Building and training the CNN.en.srt |
19.45Кб |
024 Building and training the CNN.mp4 |
87.57Мб |
025 Testing the trained CNN.en.srt |
8.59Кб |
025 Testing the trained CNN.mp4 |
45.12Мб |
026 Tensorboard on the MNIST example.en.srt |
17.19Кб |
026 Tensorboard on the MNIST example.mp4 |
83.64Мб |
027 Confusion matrix and visualizing it with Tensorboard.en.srt |
20.45Кб |
027 Confusion matrix and visualizing it with Tensorboard.mp4 |
109.51Мб |
028 Using Tensorboard to tune hyperparameters.en.srt |
14.07Кб |
028 Using Tensorboard to tune hyperparameters.mp4 |
82.86Мб |
029 Introduction.en.srt |
3.55Кб |
029 Introduction.mp4 |
20.31Мб |
030 Regularization.en.srt |
7.08Кб |
030 Regularization.mp4 |
42.15Мб |
031 L2 Regularization and Weight Decay.en.srt |
6.79Кб |
031 L2 Regularization and Weight Decay.mp4 |
39.02Мб |
032 Dropout.en.srt |
5.25Кб |
032 Dropout.mp4 |
36.30Мб |
033 Data augmentation.en.srt |
5.88Кб |
033 Data augmentation.mp4 |
42.15Мб |
034 Introduction to the problem.en.srt |
5.23Кб |
034 Introduction to the problem.mp4 |
27.68Мб |
035 The objective and the images.en.srt |
6.62Кб |
035 The objective and the images.mp4 |
47.16Мб |
036 Converting images to arrays.en.srt |
5.30Кб |
036 Converting images to arrays.mp4 |
23.79Мб |
037 Getting started with the code concepts.en.srt |
4.71Кб |
037 Getting started with the code concepts.mp4 |
27.11Мб |
038 Primary classification task - Part 1.en.srt |
8.54Кб |
038 Primary classification task - Part 1.mp4 |
35.48Мб |
039 Primary classification task - Part 2.en.srt |
13.74Кб |
039 Primary classification task - Part 2.mp4 |
60.52Мб |
040 Primary classification task - Part 3.en.srt |
7.52Кб |
040 Primary classification task - Part 3.mp4 |
33.89Мб |
041 Trousers and Jeans - discussion of approaches.en.srt |
8.50Кб |
041 Trousers and Jeans - discussion of approaches.mp4 |
53.48Мб |
042 Trousers and Jeans - All.en.srt |
15.75Кб |
042 Trousers and Jeans - All.mp4 |
85.58Мб |
043 Trousers and Jeans - Gender + Type.en.srt |
6.17Кб |
043 Trousers and Jeans - Gender + Type.mp4 |
26.28Мб |
044 Trousers and Jeans - comparing the methods.en.srt |
11.69Кб |
044 Trousers and Jeans - comparing the methods.mp4 |
34.94Мб |
045 L2 regularization and Dropout.en.srt |
15.16Кб |
045 L2 regularization and Dropout.mp4 |
81.46Мб |
046 Data augmentation - Shoes All.en.srt |
6.98Кб |
046 Data augmentation - Shoes All.mp4 |
32.79Мб |
047 Unexpected failures.en.srt |
10.90Кб |
047 Unexpected failures.mp4 |
72.87Мб |
048 Introduction - the ILSVRC challenge.en.srt |
2.18Кб |
048 Introduction - the ILSVRC challenge.mp4 |
21.62Мб |
049 AlexNet - CNN success.en.srt |
4.91Кб |
049 AlexNet - CNN success.mp4 |
38.72Мб |
050 VGG - more layers.en.srt |
4.17Кб |
050 VGG - more layers.mp4 |
36.21Мб |
051 GoogleNet - computational efficiency.en.srt |
10.02Кб |
051 GoogleNet - computational efficiency.mp4 |
71.30Мб |
052 ResNet - revolution of depth.en.srt |
7.75Кб |
052 ResNet - revolution of depth.mp4 |
49.76Мб |
external-assets-links.txt |
556б |
external-assets-links.txt |
519б |
external-assets-links.txt |
1.19Кб |
TutsNode.com.txt |
63б |