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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

## Artificial neuron modeling
One way to replicate nature's network of neurons in an artificial model is to have layers of neurons, with each one connected to every other neuron in the preceding and subsequent layers. The following diagram illustrates this idea.

# Artificial neuron modeling
One way to replicate nature's network of neurons in an artificial model is to have layers of neurons, with each one connected to every other neuron in the preceding and subsequent layers. The following diagram illustrates this idea.

Learn how to build your own artificial neuron with three layers, three inputs, and three outputs.

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

Replicate Neurons in an Artificial Model

Artificial neuron modeling