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深度学习tensorflow入门，原理与进阶 源代码

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10-1自编码.py
10-1自编码.py
 
 
10-2自编码进阶.py
10-2自编码进阶.py
 
 
10-3卷积网络自编码.py
10-3卷积网络自编码.py
 
 
10-3卷积网络自编码_2.py
10-3卷积网络自编码_2.py
 
 
10-3卷积网络自编码_3.py
10-3卷积网络自编码_3.py
 
 
10-5去噪声自编码.py
10-5去噪声自编码.py
 
 
10-6自编码综合.py
10-6自编码综合.py
 
 
10-7分布自编码综合.py
10-7分布自编码综合.py
 
 
4-15 ps.py
4-15 ps.py
 
 
4-16 worker.py
4-16 worker.py
 
 
4-17 worker2.py
4-17 worker2.py
 
 
4.2.7序列与索引.py
4.2.7序列与索引.py
 
 
4.3.7_作用域.py
4.3.7_作用域.py
 
 
4.4.19_图的操作.py
4.4.19_图的操作.py
 
 
4.5分布式.py
4.5分布式.py
 
 
5-1 MNIST数据集.py
5-1 MNIST数据集.py
 
 
5-2 MNIST分类.py
5-2 MNIST分类.py
 
 
6-1 softmax应用.py
6-1 softmax应用.py
 
 
6-3退化学习率.py
6-3退化学习率.py
 
 
6-4maxout网络实现mnist分类.py
6-4maxout网络实现mnist分类.py
 
 
7-1线性逻辑回归.py
7-1线性逻辑回归.py
 
 
7-2线性多分类.py
7-2线性多分类.py
 
 
7-3异或操作.py
7-3异或操作.py
 
 
7-5MNIST多层分类.py
7-5MNIST多层分类.py
 
 
7-6异或集的过拟合.py
7-6异或集的过拟合.py
 
 
7-6异或集的过拟合_2.py
7-6异或集的过拟合_2.py
 
 
8-12反卷积操作.py
8-12反卷积操作.py
 
 
8-13反池化操作.py
8-13反池化操作.py
 
 
8-14gradients.py
8-14gradients.py
 
 
8-15_16gradients1.py
8-15_16gradients1.py
 
 
8-17cifar反卷积.py
8-17cifar反卷积.py
 
 
8-17cifar反卷积_2.py
8-17cifar反卷积_2.py
 
 
8-18cifar简洁代码.py
8-18cifar简洁代码.py
 
 
8-19cifar卷积核优化.py
8-19cifar卷积核优化.py
 
 
8-1卷积函数的使用.py
8-1卷积函数的使用.py
 
 
8-20cifar多通道卷积.py
8-20cifar多通道卷积.py
 
 
8-21cifarBN.py
8-21cifarBN.py
 
 
8-2sobel.py
8-2sobel.py
 
 
8-3池化函数使用.py
8-3池化函数使用.py
 
 
8-4_CIRAR下载.py
8-4_CIRAR下载.py
 
 
8-5_CIFAR.py
8-5_CIFAR.py
 
 
8-6cifar手动读取.py
8-6cifar手动读取.py
 
 
8-7queue.py
8-7queue.py
 
 
8-8cifar队列协调器.py
8-8cifar队列协调器.py
 
 
8-9cifar卷积.py
8-9cifar卷积.py
 
 
8-9cifar卷积_2.py
8-9cifar卷积_2.py
 
 
9-14BiRnNMnist.py
9-14BiRnNMnist.py
 
 
9-15单层静态双向RNN.py
9-15单层静态双向RNN.py
 
 
9-16多层双向RNN.py
9-16多层双向RNN.py
 
 
9-17list多层双向RNN.py
9-17list多层双向RNN.py
 
 
9-18Muti双向RNN.py
9-18Muti双向RNN.py
 
 
9-19动态Multi双向RNN.py
9-19动态Multi双向RNN.py
 
 
9-1subtraction.py
9-1subtraction.py
 
 
9-20InGRUonMnist.py
9-20InGRUonMnist.py
 
 
9-23yunyinchall.py
9-23yunyinchall.py
 
 
9-24yunyin_make_word_txt.py
9-24yunyin_make_word_txt.py
 
 
9-24yuyinutils.py
9-24yuyinutils.py
 
 
9-25rnnwordtest.py
9-25rnnwordtest.py
 
 
9-26word2vect.py
9-26word2vect.py
 
 
9-27word2vect自定义候选采样.py
9-27word2vect自定义候选采样.py
 
 
9-2echo模拟.py
9-2echo模拟.py
 
 
9-30基本seq2seq.py
9-30基本seq2seq.py
 
 
9-32seq2seqstock.py
9-32seq2seqstock.py
 
 
9-33datautil.py
9-33datautil.py
 
 
9-34seq2seq_model.py
9-34seq2seq_model.py
 
 
9-35train.py
9-35train.py
 
 
9-3LSTMMnist.py
9-3LSTMMnist.py
 
 
9-3LSTMMnist——2.py
9-3LSTMMnist——2.py
 
 
9-3_0使用动态RNN处理边长序列.py
9-3_0使用动态RNN处理边长序列.py
 
 
9-5gru.py
9-5gru.py
 
 
9-6创建动态RNN.py
9-6创建动态RNN.py
 
 
9-7McellMNIST.py
9-7McellMNIST.py
 
 
9-8mcellLSTMGRU.py
9-8mcellLSTMGRU.py
 
 
9-9动态多层.py
9-9动态多层.py
 
 
README.md
README.md
 
 
myjiebadict.txt
myjiebadict.txt
 
 
tensorBoard.py
tensorBoard.py
 
 
test_slice.py
test_slice.py
 
 
untitled0.py
untitled0.py
 
 
untitled1.py
untitled1.py
 
 
untitled2.py
untitled2.py
 
 
untitled3-save-checkpoint.py
untitled3-save-checkpoint.py
 
 
untitled4-save2-checkpoint.py
untitled4-save2-checkpoint.py
 
 
wordstest.txt
wordstest.txt
 
 
共享变量.py
共享变量.py
 
 
复数操作.py
复数操作.py
 
 
矩阵相关运算.py
矩阵相关运算.py
 
 
算术运算.py
算术运算.py
 
 
规约计算.py
规约计算.py
 
 

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深度学习tensorflow入门，原理与进阶 源代码

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深度学习tensorflow入门，原理与进阶 源代码

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