Inside a Neural Network
An introduction to building a basic feedforward neural network with backpropagation in Python.
Inside a Neural Network launched on July 5, 2018 with 13 votes, #863 of 2,673 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 8 years on.
In plain words
Inside a Neural Network is a tutorial that teaches users how to build a basic feedforward neural network with backpropagation in Python. Designed for people new to machine learning, it requires familiarity with basic Python, linear algebra, and calculus concepts. The tutorial breaks down how neural networks function and guides learners through creating a flexible, working neural network from scratch.
written from the facts on this page · September 2026
From the sources
Before you start this tutorial, you should probably be familiar with basic python. There are also some basic concepts of linear algebra and calculus involved. If you aren't there yet, it's all good! We're going to do our best to explain it as we go! Before we get started with the how of building a Neural Network, we need to understand the what first. Neural networks can be intimidating, especially for people new to machine learning. However, this tutorial will break down how exactly a neural network works and you will have a working flexible neural network by the end. Let’s get started! With approximately 100 billion neurons, the human brain processes data at speeds as fast as 268 mph! In…from enlight.nyc
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