Build Neural Networks In Python From Scratch. Step By Step!

My name is Loek van den Ouweland, a senior software engineer with 25 years of experience. I am the creator of Wunderlist for windows, Microsoft To–do and Mahjong for Windows and I love to teach software engineering!

In this course you will learn how to build Neural Networks with plain Python. Without the need for any library, you will see how a simple neural network from 4 lines of code, evolves in a network that is able to recognise handwritten digits. In this process, you will learn concepts like: Feed forward, Cost, Back propagation, Hidden layers, Linear regression, Gradient descent and Matrix multiplication.

The topics of the course are:

Linear regression

Cost functions

Bias

Multiple inputs

Normalisation

Gradient descent

Classification

Activation

Multi–class classification

Non–linear data

Hidden layers

Every topic is a continuation of a previous example. This way, you will learn neural networks from the ground up.

Why is this course different than others?

Many tutorials claim to start from scratch, but import external libraries or rapidly type in code and before executing even once, you are looking at 50 lines of code. When finally the code is run, you are totally lost and still stuck trying to understand line 3.