SBA2020_python研究
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2021-02-10
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SBA2020_pythonStudy-master.zip （81个子文件） 
SBA2020_pythonStudy-master .ipynb_checkpoints 
01_study-checkpoint.ipynb 18KB baekjoon-checkpoint.ipynb 43KB mLstudie-checkpoint.ipynb 30KB baekjoon.ipynb 46KB perceptron.ipynb 41KB deepLearningFunctionStudy.ipynb 3KB 01_study.ipynb 18KB deep-learning-from-scratch-master common functions.py 1KB util.py 3KB gradient.py 1KB multi_layer_net.py 6KB optimizer.py 4KB multi_layer_net_extend.py 7KB layers.py 8KB trainer.py 3KB ch02 or_gate.py 354B xor_gate.py 331B and_gate.py 357B README.md 3KB nand_gate.py 360B ch05 gradient_check.py 754B two_layer_net.py 2KB train_neuralnet.py 1KB buy_apple_orange.py 988B README.md 4KB buy_apple.py 500B layer_naive.py 581B ch06 overfit_weight_decay.py 2KB batch_norm_gradient_check.py 793B hyperparameter_optimization.py 3KB overfit_dropout.py 2KB weight_init_compare.py 2KB batch_norm_test.py 3KB README.md 4KB optimizer_compare_naive.py 1KB weight_init_activation_histogram.py 1KB optimizer_compare_mnist.py 2KB ch03 sample_weight.pkl 178KB sig_step_compare.py 346B step_function.py 254B sigmoid.py 212B neuralnet_mnist.py 1KB neuralnet_mnist_batch.py 1KB mnist_show.py 573B README.md 4KB relu.py 198B ch08 half_float_network.py 816B deep_convnet_params.pkl 966KB misclassified_mnist.py 2KB deep_convnet.py 6KB README.md 3KB awesome_net.py 27B train_deepnet.py 730B
1_vs_2.png 1.01MB ch04 gradient_method.py 755B gradient_1d.py 497B two_layer_net.py 2KB train_neuralnet.py 2KB README.md 3KB gradient_2d.py 2KB gradient_simplenet.py 702B ch07 gradient_check.py 544B apply_filter.py 2KB visualize_filter.py 814B README.md 3KB simple_convnet.py 6KB train_convnet.py 1KB params.pkl 3.31MB ch01 simple_graph.py 217B hungry.py 21B sin_graph.py 217B images fig 1-4.png 57KB fig 1-5.png 104KB fig 1-1.png 18KB fig 1-3.png 57KB fig 1-2.png 19KB img_show.py 176B README.md 31KB sin_cos_graph.py 429B man.py 312B mLstudie.ipynb 30KB资源评论
