Mastering Neural Networks and Deep Learning in Python3

《Neural Networks and Deep Learning》 代码实现:从 GitHub 获取的资源。当前只改了 mnist_loadernetwork,其他部分代码暂未修改,有需要的可自行下载。

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neural-networks-and-deep-learning-master-python3.zip 预估大小:89个文件
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neural-networks-and-deep-learning-master-python2 文件夹
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neural-networks-and-deep-learning-master 文件夹
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data 文件夹
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mnist.pkl.gz 16.26MB
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src 文件夹
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mnist_loader.py 3KB
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mnist_svm.py 758B
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1.py 398B
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__pycache__ 文件夹
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network.cpython-37.pyc 7KB
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mnist_loader.cpython-37.pyc 4KB
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mnist_average_darkness.py 3KB
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network2.py 14KB
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network3.py 13KB
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conv.py 12KB
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expand_mnist.py 2KB
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network.py 6KB
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requirements.txt 63B
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.gitignore 52B
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README.md 2KB
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fig 文件夹
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overfitting3.png 38KB
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training_speed_3_layers.png 43KB
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weight_initialization_100.json 456B
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regularized_full.json 2KB
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more_data.json 63B
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mnist_2_and_1.png 5KB
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norms_during_training_2_layers.json 23KB
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false_minima.png 147KB
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pca_hard_data.png 52KB
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digits.png 8KB
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norms_during_training_4_layers.json 46KB
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more_data_5.png 5KB
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overfitting.py 7KB
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valley2.py 1KB
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mnist_100_digits.png 57KB
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more_data_rotated_5.png 5KB
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misleading_gradient_contours.py 514B
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weight_initialization_30.json 456B
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valley2.png 83KB
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overfitting.json 21KB
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valley.py 1KB
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valley.png 90KB
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pca_hard_data_fit.png 80KB
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mnist.py 12KB
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more_data_log.png 34KB
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more_data_comparison.png 43KB
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digits_separate.png 8KB
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mnist_other_features.png 5KB
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weight_initialization_30.png 41KB
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backprop_magnitude_nabla.png 29KB
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misleading_gradient_contours.png 58KB
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overfitting1.png 36KB
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weight_initialization_100.png 40KB
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overfitting4.png 30KB
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overfitting_full.json 2KB
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multiple_eta.json 2KB
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overfitting2.png 62KB
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generate_gradient.py 4KB
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more_data.py 4KB
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pca_limitations.py 814B
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initial_gradient.json 272B
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regularized_full.png 49KB
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mnist_top_left_feature.png 4KB
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regularized2.png 67KB
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misleading_gradient.png 186KB
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more_data.png 32KB
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mnist_complete_zero.png 5KB
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replaced_by_d3 文件夹
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step.png 17KB
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sigmoid.py 426B
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relu.png 25KB
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relu.py 440B
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tanh.png 23KB
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sigmoid.png 23KB
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tanh.py 349B
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README.md 263B
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step.py 417B
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overfitting_full.png 44KB
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mnist_first_digit.png 5KB
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more_data_svm.json 63B
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regularized.json 21KB
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backprop_magnitude_nabla.py 3KB
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training_speed_4_layers.png 50KB
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training_speed_2_layers.png 42KB
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data_1000.json 5.13MB
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serialize_images_to_json.py 1KB
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regularized1.png 36KB
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weight_initialization.py 3KB
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multiple_eta.py 2KB
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norms_during_training_3_layers.json 35KB
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multiple_eta.png 45KB
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mnist_really_bad_images.png 12KB
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test.png 18KB
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false_minima.py 1KB
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misleading_gradient.py 1KB
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zip 文件大小:18.09MB