Introduction
This post is series of Tensorflow exploring. It’s personal study note. I assume reader should have basic idea about how deep learning works.
Tensorflow Basics
Tensor rank
scaler => 0 rank image = > 2 rank text =>
Data type
Graph
build the computational graph. It’s unlikely general function work.
- build graph
- build session
- run ###
Embedded
embedding_lookup
LSTMCell
Some nn
Key knowledge
- stepwise_cross_entropy
- AdamOptimizer
