When I first began my research for my paper “Bots Trained to Play Like a Human Are More Fun,” I had no idea how deep the neural network rabbit hole would go. The idea was simple: train bots that mimic human behavior in games, not just to win—but to play Read more
In this guide we’ll walk through how to build a neural network using JavaScript, leveraging modern browser or Node.js libraries to bring deep learning into your web apps. If you’re looking to understand artificial neural networks, how training works (including supervised learning and backpropagation), and how to apply this knowledge Read more
In the vast landscape of machine learning algorithms, from supervised learning to deep neural networks, there exists a unique and powerful family inspired by the very principles of life itself: Evolutionary Algorithms. At the heart of this family lies the Genetic Algorithm (GA), a robust optimization technique based on Charles Darwin’s theory of natural selection. Read more
In the rapidly growing world of Artificial Intelligence (AI) and Machine Learning (ML), Artificial Neural Networks (ANNs) form the foundation of deep learning systems that power everything from voice assistants and image recognition to autonomous driving and predictive analytics. In this artificial neural networks deep learning guide you will get Read more
Having published my first research paper in Machine Learning (ML) and Artificial Intelligence (AI) in 2008, I am happy to know just how mainstream AI has gotten as off late. One of the mainstream applications of AI, that I came across recently is a recruitment tool called HireVue. They claim Read more
