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.

Neural networks, machine learning? Nobel-winning AI science explained Paris (AFP) – The Nobel Prize in Physics was awarded to two scientists on Tuesday for discoveries that laid the groundwork ...

Neural networks have revolutionised the landscape of machine learning, yielding unprecedented performance in complex tasks ranging from image recognition to natural language processing.

To help them explain the shocking success of deep neural networks, researchers are turning to older but better-understood models of machine learning.

What Is an Artificial Neural Network? An artificial neural network (ANN) is a type of machine learning model inspired by neurons in the brain. 1,2 The individual components of the ANN receive ...

Grace Lindsay explains machine learning and describes how artificial neural networks mimic the architecture of brain neurons to learn from and process data.

A deep learning or deep neural network framework covers a variety of neural network topologies with many hidden layers. Keras, MXNet, PyTorch, and TensorFlow are deep learning frameworks.