**Neural Network Tutorials - Herong's Tutorial Examples** - 1.20, by Dr. Herong Yang

TensorFlow - Machine Learning Platform

This chapter provides introductions and tutorials on TensorFlow. Topics include introduction TensorFlow; installing TensorFlow Python library; understanding tensor flow graph; running TensorFlow Session; building learning model for MNIST database.

"tensorflow" - TensorFlow Python Library

"tensorflow" Interactive Test Web Page

TensorFlow Session Class and run() Function

TensorFlow Variable Class and load() Function

Linear Regression with TensorFlow

tensorflow.examples.tutorials.mnist Module

Takeaways:

- TensorFlow is an end-to-end open source platform for machine learning with APIs for Python, C++ and many other programming languages.
- A tensor is a multi-dimension matrix.
- A tensor flow graph represents an tensor expression of multiple tensor operations.
- A TensorFlow session allows you to evaluate tensor flow graphs.
- TensorFlow Python library contains a tutorial module for the MNIST database.
- You can build a simple leaning model for MNIST in a few minutes.

Table of Contents

Deep Playground for Classical Neural Networks

Building Neural Networks with Python

Simple Example of Neural Networks

►TensorFlow - Machine Learning Platform

PyTorch - Machine Learning Platform

CNN (Convolutional Neural Network)