?

結(jié)合實(shí)際應(yīng)用舉例和和業(yè)界趨勢(shì)分析

既有 TensorFlow 的案例，也有高層類庫(kù) Keras 的實(shí)踐

主題	內(nèi)容
1. TensorFlow 入門	- Overview - Graphs and Sessions 圖和會(huì)話 1) Tensor 2)Data Flow Graphs 3)Graph and sub-Graph - Distributed Computation 分布式計(jì)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 模型結(jié)構(gòu)	- Overall structure of a model in TensorFlow - word2vec - Name scope - Embedding visualization
5. Experiments Management 實(shí)驗(yàn)管理	- tf.train.Saver - tf.summary - Randomization - Data Readers
6. Application 實(shí)戰(zhàn)	- AutoEncoder - MLP - CNN（AlexNet，VGGNet，Inception Net，ResNet） - RNN（LSTM，Bi-RNN） - Deep Reinforcement Learning（Policy Network、Value Network）