    Gain insights into building and optimizing neural networks in Python. Delve into fundamental concepts, mathematical explanations, and practical implementations to enhance your machine learning skills.

Make your own neutral network in python final.png

Machine learning is one of the fastest growing fields, and we cannot emphasize enough about its importance. This course aims to teach one of the fundamental concepts of machine learning, i.e., Neural Network. You will learn the basic concepts of building a model as well as the mathematical explanation behind Neural Network and based on that; you will build one from scratch (in Python). You will also learn how to train and optimize your network to achieve a better result.

Make Your Own Neural Network in Python

## Build a simple model
Imagine a basic machine that takes a question, does some thinking, and pushes out an answer. We can compare this process to the example from before, where we take input through our eyes, use our brains to analyze the scene, and come to a conclusion about what objects are in that scene. Here’s what this looks like.



# Build a simple model
Imagine a basic machine that takes a question, does some thinking, and pushes out an answer. We can compare this process to the example from before, where we take input through our eyes, use our brains to analyze the scene, and come to a conclusion about what objects are in that scene. Here’s what this looks like.



Learn how to build a simple model to predict a missing value, based on past observations.

Prologue

A Little Background

Let's Get Started!

Backward Propagation of Error

Adjusting the Link Weights

A Gentle Start with Python

Neural Network with Python

Testing Neural Network against MNIST Dataset

Some Suggested Improvements

Even More Fun!

Epilogue

Appendix: A Small Guide to Calculus

A Simple Prediction Machine

Build a simple model