## Overview
This series is designed to teach you how to create basic neural networks with python and tensorflow 2.0. It will cover everything from basic neural networks trained on MNIST data to convolutional neural networks.

## What You’ll Learn
This series is packed full of valuable information. You will learn and understand the following after this tutorial:

- How a Neural Network Works
- How to Design a Neural Network
- How to Train a Neural Network
- How to use a Neural Network to make predicitions
- The different kinds of Neural Networks
## Prerequisites
This is NOT a beginner tutorial and I will not be teaching python syntax. It is also highly encouraged that you are familiar with Object Orientated Principles

- Intermediate Programming Knowledge
- Experience With Python 3 Syntax

What is a Neural Network?

Looking at and Loading Data

Creating a Model

Making Predictions

Text Classification P1

Text Classification P2

Text Classification P3

Text Classification P4

This python neural network tutorial series will show you how to use tensorflow 2.0 and the api keras to create and use basic neural networks.

Python Neural Networks Tutorial - TensorFlow 2.0

Python Neutral Network Tutorials