神经网络与深度学习(Michael Nielsen)
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2018-08-05
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神经网络与深度学习(Michael Nielsen) （102个子文件） 
.gitignore 52B
mnist.pkl.gz 16.26MB data_1000.json 5.13MB norms_during_training_4_layers.json 46KB norms_during_training_3_layers.json 35KB norms_during_training_2_layers.json 23KB overfitting.json 21KB regularized.json 21KB multiple_eta.json 2KB overfitting_full.json 2KB regularized_full.json 2KB weight_initialization_30.json 456B weight_initialization_100.json 456B initial_gradient.json 272B more_data.json 63B more_data_svm.json 63B README.md 2KB README.md 263B
Michael Nielsen-入门神作.pdf 3.37MB
misleading_gradient.png 186KB false_minima.png 147KB valley.png 90KB valley2.png 83KB pca_hard_data_fit.png 80KB regularized2.png 67KB overfitting2.png 62KB misleading_gradient_contours.png 58KB mnist_100_digits.png 57KB pca_hard_data.png 52KB training_speed_4_layers.png 50KB regularized_full.png 49KB multiple_eta.png 45KB overfitting_full.png 44KB training_speed_3_layers.png 43KB more_data_comparison.png 43KB training_speed_2_layers.png 42KB weight_initialization_30.png 41KB weight_initialization_100.png 40KB overfitting3.png 38KB overfitting1.png 36KB regularized1.png 36KB more_data_log.png 34KB more_data.png 32KB overfitting4.png 30KB cost_vs_iterations_trapped.png 30KB backprop_magnitude_nabla.png 29KB cost_vs_iterations.png 28KB relu.png 25KB tanh.png 23KB sigmoid.png 23KB mnist_30_component_pca.png 19KB mnist_30_unit_autoencoder.png 18KB test.png 18KB mnist_10_unit_autoencoder.png 18KB step.png 17KB mnist_100_unit_autoencoder.png 17KB mnist_100_30_deep_autoencoder.png 17KB mnist_really_bad_images.png 12KB digits.png 8KB digits_separate.png 8KB mnist_2_and_1.png 5KB more_data_rotated_5.png 5KB mnist_complete_zero.png 5KB mnist_first_digit.png 5KB more_data_5.png 5KB mnist_other_features.png 5KB mnist_top_left_feature.png 4KB network2.py 14KB network3.py 13KB conv.py 12KB mnist.py 12KB overfitting.py 7KB network.py 6KB deep_autoencoder.py 5KB generate_gradient.py 4KB more_data.py 4KB gradient_descent_hack.py 3KB mnist_loader.py 3KB mnist_autoencoder.py 3KB common_knowledge.py 3KB weight_initialization.py 3KB backprop_magnitude_nabla.py 3KB perceptron_learning.py 3KB mnist_average_darkness.py 3KB multiple_eta.py 2KB expand_mnist.py 2KB deep_learning.py 2KB valley2.py 1KB mnist_pca.py 1KB misleading_gradient.py 1KB valley.py 1KB serialize_images_to_json.py 1KB false_minima.py 1KB pca_limitations.py 814B mnist_svm.py 758B misleading_gradient_contours.py 514B relu.py 440B sigmoid.py 426B step.py 417B tanh.py 349B共 102 条
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