TensorFlow - Machine Learning Platform

Neural Network Tutorials - Herong's Tutorial Examples

∟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.

What Is TensorFlow

"tensorflow" - TensorFlow Python Library

"tensorflow" Interactive Test Web Page

Tensor and Tensor Flow Graph

Tensor Operation Properties

TensorFlow Session Class and run() Function

TensorFlow Variable Class and load() Function

Linear Regression with TensorFlow

tensorflow.examples.tutorials.mnist Module

mnist.read_data_sets() Is Deprecated

Simple TensorFlow Model on MNIST Database

Commonly Used TensorFlow functions

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

About This Book

Deep Playground for Classical Neural Networks

Building Neural Networks with Python

Simple Example of Neural Networks

►TensorFlow - Machine Learning Platform

PyTorch - Machine Learning Platform

Gradio - ML Demo Platform

CNN (Convolutional Neural Network)

RNN (Recurrent Neural Network)

GNN (Graph Neural Network)

GAN (Generative Adversarial Network)

Performance Evaluation Metrics

References

Full Version in PDF/EPUB