注意：只展示部分的文件和文件夹 实际有67个文件
深度学习入门—基于Python的理论与实现
深度学习入门—基于Python的理论 与实现 15.4MB
《深度学习入门：基于Python的理论与实现》高清中文版.pdf 10.7MB
【源代码】深度学习入门：基于Python的理论与实现 4.7MB
README.md 1KB
LICENSE.md 1KB
dataset 160KB
__init__.py N/A
mnist.py 3KB
lena_gray.png 42KB
lena.png 115KB
common 31KB
__init__.py N/A
util.py 3KB
trainer.py 3KB
optimizer.py 4KB
multi_layer_net_extend.py 7KB
multi_layer_net.py 5KB
layers.py 8KB
gradient.py 1KB
functions.py 1KB
ch08 975KB
train_deepnet.py 699 B
misclassified_mnist.py 2KB
half_float_network.py 766 B
deep_convnet_params.pkl 966KB
deep_convnet.py 6KB
awesome_net.py 27 B
ch07 3.3MB
visualize_filter.py 801 B
train_convnet.py 1KB
simple_convnet.py 5KB
params.pkl 3.3MB
gradient_check.py 544 B
apply_filter.py 2KB
ch06 16KB
weight_init_compare.py 2KB
weight_init_activation_histogram.py 1KB
overfit_weight_decay.py 2KB
overfit_dropout.py 1KB
optimizer_compare_naive.py 1KB
optimizer_compare_mnist.py 2KB
hyperparameter_optimization.py 3KB
batch_norm_test.py 3KB
batch_norm_gradient_check.py 773 B
ch05 6KB
two_layer_net.py 2KB
train_neuralnet.py 1KB
layer_naive.py 557 B
gradient_check.py 677 B
buy_apple_orange.py 988 B
buy_apple.py 500 B
ch04 7KB
two_layer_net.py 2KB
train_neuralnet.py 2KB
gradient_simplenet.py 662 B
gradient_method.py 755 B
gradient_2d.py 2KB
gradient_1d.py 497 B
ch03 181KB
step_function.py 267 B
sig_step_compare.py 361 B
sigmoid.py 212 B
sample_weight.pkl 178KB
relu.py 198 B
neuralnet_mnist_batch.py 1KB
neuralnet_mnist.py 1KB
mnist_show.py 551 B
ch02 1KB
xor_gate.py 331 B
or_gate.py 354 B
nand_gate.py 360 B
