培训内容:
1、Machine Learning and Recursive Neural Networks (RNN) basics
NN and RNN
Backprogation
Long short-term memory (LSTM)
2、TensorFlow Basics
Creation, Initializing, Saving, and Restoring TensorFlow variables
Feeding, Reading and Preloading TensorFlow Data
How to use TensorFlow infrastructure to train models at scale
Visualizing and Evaluating models with TensorBoard
3、TensorFlow Mechanics 101
Tutorial Files
Prepare the Data
Build the Graph
Train the Model
Evaluate the Model
4、Advanced Usage
Threading and Queues
Distributed TensorFlow
Writing Documentation and Sharing your Model
Customizing Data Readers
Using GPUs
Manipulating TensorFlow Model Files
5、TensorFlow Serving
Introduction
Basic Serving Tutorial
Advanced Serving Tutorial
Serving Inception Model Tutorial
6、Convolutional Neural Networks
Overview
Code Organization
CIFAR-10 Model
Launching and Training the Model
Evaluating a Model
Training a Model Using Multiple GPU Cards
7、Deep Learning for MNIST
Setup
Load MNIST Data
Start TensorFlow InteractiveSession
Build a Softmax Regression Model
Placeholders
Variables
Predicted Class and Cost Function
Train the Model
Evaluate the Model
Build a Multilayer Convolutional Network
Weight Initialization
Convolution and Pooling
First Convolutional Layer
Second Convolutional Layer
Densely Connected Layer
Readout Layer
Train and Evaluate the Model
8、Image Recognition
Inception-v3
C++
Java
