主题 |
内容
|
1.
TensorFlow 入门 |
- Overview
- Graphs and Sessions 图和会话
1) Tensor
2)Data Flow Graphs
3)Graph and sub-Graph
- Distributed Computation 分布式计算
|
2.
TensorFlow Ops 操作符 |
- Basic operations
- Tensor types
- Constants and variables
- Feeding inputs
- TensorBoard
|
3.
Basic Model 基本模型 |
- Linear regression in TensorFlow
- Optimizers
- Logistic regression
- Loss functions |
4.
Model Structure 模型结构 |
- Overall structure of a model in TensorFlow
- word2vec
- Name scope
- Embedding visualization |
5.
Experiments Management 实验管理 |
- tf.train.Saver
- tf.summary
- Randomization
- Data Readers |
6.
Application 实战 |
- AutoEncoder
- MLP
- CNN（AlexNet，VGGNet，Inception Net，ResNet）
- RNN（LSTM，Bi-RNN）
- Deep Reinforcement Learning（Policy Network、Value
Network） |
