How Neural Networks Learn, with 1 Complete Example
Gain insight, and an intuition, for how Neural Networks learn. A worked example, covering each step in the learning procedure, is included.
Neural Networks
This category groups articles that focus on Neural Networks. Each post focuses on either a specific component of Neural Networks, or on understanding how these powerful machine learning algorithms work. The emphasis here is on understanding these models at a technical level. Here you will learn to understand, and build, Neural Networks in Python from scratch.
Understanding Backpropagation
This post will cover the Backpropagation algorithm used to train supervised Neural Networks. Motivations and mathematical details will be covered.
Implement the Perceptron Algorithm from Scratch in Python
This article covers an implementation of the Perceptron Algorithm from Scratch. The model is first described, and then built & tested in Python.
Neural Networks Explained Simply
Here I aim to have Neural Networks explained in a comprehensible way. My hope is the reader will get a better intuition for these learning machines.
7 Popular Types of Neural Network Activation Functions
Learn 7 popular Neural Network activation functions, used in architectures from the Perceptron to the most complex Deep Learning model.