TensorFlow Tutorial

TensorFlow is an open source machine learning framework for all developers.

It is used for implementing machine learning and deep learning applications.

It combines the computational algebra of optimization techniques for easy calculation of many mathematical expressions.

TensorFlow is well-documented and includes plenty of machine learning libraries. It offers a few important functionalities and methods for the same.

Things to be included :

Introduction

Installation

Understanding Artificial Intelligence

Mathematical Foundations

Machine Learning and Deep Learning

TensorFlow - Basics

Convolutional Neural Networks

Recurrent Neural Networks

TensorBoard Visualization

Word Embedding

Single Layer Perceptron

Linear Regression

TFLearn And Its Installation

CNN And RNN Difference

Keras

Distributed Computing

Exporting

Multi-Layer Perceptron Learning

Hidden Layers of Perceptron

Optimizers

XOR Implementation

Gradient Descent Optimization

Forming Graphs

Image Recognition using TensorFlow

Recommendations for Neural Network Training