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 Some of the most powerful and influential machine learning algorithms are Neural Networks. They are applicable to a wide range of problems: including supervised prediction, language/image/video generation, computer vision, and many more. A key step to building these models is hyperparameter tuning. In this article, I will cover how to tune models in […]
Advanced Model Tuning with Keras Read More »
We will work through the implementation of a Multilayer Perceptron Classifier with numpy. A fully-worked example in code is included.
Build a Multilayer Perceptron Classifier with Numpy Read More »
In this post, we’ll work through the implementation of a Multilayer Perceptron Regressor with numpy. A fully-worked code example is included.
Build a Multilayer Perceptron Regressor with Numpy Read More »
Gain insight, and an intuition, for how Neural Networks learn. A worked example, covering each step in the learning procedure, is included.
How Neural Networks Learn, with 1 Complete Example Read More »
This post will cover the Backpropagation algorithm used to train supervised Neural Networks. Motivations and mathematical details will be covered.
Understanding Backpropagation Read More »
This article covers an implementation of the Perceptron Algorithm from Scratch. The model is first described, and then built & tested in Python.
Implement the Perceptron Algorithm from Scratch in Python Read More »
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.
Neural Networks Explained Simply Read More »
Learn 7 popular Neural Network activation functions, used in architectures from the Perceptron to the most complex Deep Learning model.
7 Popular Types of Neural Network Activation Functions Read More »