Neural Networks in Python from Scratch: Learning by Doing

This course is for everyone who wants to learn how neural networks work by hands–on programming!

Everybody is talking about neural networks but they are hard to understand without setting one up yourself. Luckily, the mathematics and programming skills (python) required are on a basic level so we can progam 3 neural networks in just over 3 hours. Do not waste your time! This course is optimized to give you the deepest insight into this fascinating topic in the shortest amount of time possible.

The focus is fully on learning–by–doing and I only introduce new concepts once they are needed.

What you will learn

After a short introduction, the course is separated into three segments – 1 hour each:

1) Set–up the most simple neural network: Calculate the sum of two numbers.
You will learn about:

Neural network architecture

Weights, input & output layer

Training & test data

Accuracy & error function

Feed–forward & back–propagation

Gradient descent

2) We modify this network: Determine the sign of the sum.
You will be introduced to:

Hidden layers

Activation function

Categorization

3) Our network can be applied to all sorts of problems, like image recognition: Determine hand–written digits!
After this cool and useful real–life application, I will give you an outlook: