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Название Convolutional Neural Networks with TensorFlow in Python
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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
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