dive_into_deep_learning 源码

presumption91551 11 0 ZIP 2021-05-09 10:05:27

dive_into_deep_learning

文件列表

dive_into_deep_learning-main.zip (预估有个91文件)

dive_into_deep_learning-main

.ipynb_checkpoints

mxnet环境搭建-checkpoint.ipynb 72B

common

functions.py 1KB

util.py 3KB

gradient.py 1KB

multi_layer_net.py 5KB

__init__.py 0B

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

nand_gate.py 360B

第三章深度学习基础

3.5图像分类数据集.ipynb 56KB

deep_learinig_test.ipynb 18KB

3.7softmax回归的简洁实现.ipynb 3KB

3.12 权重衰减.ipynb 74KB

3.4softmax回归.ipynb 0B

3.1线性回归.ipynb 125KB

3.8多层感知.ipynb 0B

3.9多层感知机的从零开始实现.ipynb 3KB

3.10 多层感知机的简洁实现.ipynb 2KB

3.11模型选择欠拟合和过拟合.ipynb 100KB

3.6 Softmax 回归的从零开始实现.ipynb 8KB

.vscode

settings.json 68B

ch05

gradient_check.py 677B

two_layer_net.py 2KB

train_neuralnet.py 1KB

buy_apple_orange.py 988B

buy_apple.py 500B

layer_naive.py 557B

ch06

overfit_weight_decay.py 2KB

batch_norm_gradient_check.py 773B

hyperparameter_optimization.py 3KB

overfit_dropout.py 1KB

weight_init_compare.py 2KB

batch_norm_test.py 3KB

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 361B

step_function.py 267B

sigmoid.py 212B

neuralnet_mnist.py 1KB

neuralnet_mnist_batch.py 1KB

mnist_show.py 551B

relu.py 198B

ch08

half_float_network.py 766B

deep_convnet_params.pkl 966KB

misclassified_mnist.py 2KB

deep_convnet.py 6KB

awesome_net.py 27B

train_deepnet.py 699B

第二章预备知识

数据操作.ipynb 14KB

2.4查阅文档.ipynb 6KB

2.3自动求梯度.ipynb 4KB

dataset

lena_gray.png 42KB

__init__.py 0B

mnist.pkl 52.4MB

t10k-labels-idx1-ubyte.gz 4KB

mnist.py 3KB

t10k-images-idx3-ubyte.gz 1.57MB

lena.png 115KB

train-images-idx3-ubyte.gz 9.45MB

__pycache__

mnist.cpython-36.pyc 4KB

__init__.cpython-36.pyc 155B

train-labels-idx1-ubyte.gz 28KB

ch04

gradient_method.py 755B

two_layer_net.py 2KB

train_neuralnet.py 2KB

gradient_2d.py 2KB

gradient_simplenet.py 662B

gradient_1d_20190731_173642.py 497B

nohup.out 763B

README.md 25B

3.6 Softmax 回归的从零开始实现.ipynb 62KB

ch07

gradient_check.py 544B

apply_filter.py 2KB

visualize_filter.py 801B

simple_convnet.py 5KB

train_convnet.py 1KB

params.pkl 3.31MB

mxnet环境搭建.ipynb 3KB

ch01

simple_graph.py 204B

hungry.py 21B

sin_graph.py 164B

img_show_20190731_173639.py 162B

sin_cos_graph.py 381B

man_20190731_173639.py 318B

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dive_into_deep_learning 源码

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