This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential to ...

"Understanding Large Models for Humanities Students (1.0)" is written by Penny Liang, offering a simplified perspective to break down the core principles of large models, focusing on neural networks ...

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding ...

James McCaffrey uses cross entropy error via Python to train a neural network model for predicting a species of iris flower. In this article, I explain cross entropy ...

The data science doctor continues his exploration of techniques used to reduce the likelihood of model overfitting, caused by training a neural network for too many iterations. Regularization is a ...