Create and Visualize Your Very First Neural Network in Python

Create and visualize your first neural network in Python with this beginner-friendly tutorial. Learn to build a neural network from scratch using Keras and TensorFlow, without requiring prior knowledge of math, statistics, or machine learning. Explore neural network visualization techniques to enhance understanding, and gain hands-on experience defining inputs, outputs, and layers. Follow along as the tutorial guides you through creating a sequential neural network, understanding parameters and feed-forward networks, and working with pre-trained models. Visualize fully connected layers and recap key concepts to solidify your learning. Access the provided Jupyter notebook source code to practice and reinforce your newfound skills in deep learning and neural network creation.

- Tutorial Starts
- Content Intro
- Getting started
- Helpful Reference 
- Neural Network Visualization
- Creating sequential neural network 
- Neural Network Parameters and Feed Forward Network
- Pre-trained Network full example
- Fully Connected Layers
- Recap
- Tutorial Source Code