Deep Neural Networks are the more computationally powerful cousins to regular neural networks. Learn exactly what DNNs are and why they are the hottest topic in machine learning research.

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

To get a feel for neural networks, try the TensorFlow Playground. The TensorFlow Playground helps you get a feel for working with neural networks.

The two scientists learned that a recurrent neural network structure, or RNN, is responsible for decision-making, expressive language and voluntary movement in the brain’s frontal cortex. (Zhaojie ...

In a report in <i>Nature</i>, researchers describe the development of a neural network that “hallucinates” proteins with new, stable structures.

Computer-based neural networks can learn to do tasks. A new type of material, called a mechanical neural network, applies similar ideas to a physical structure.

Deep Neural Networks are the more computationally powerful cousins to regular neural networks. Learn exactly what DNNs are and why they are the hottest topic in machine learning research.

A recurrent neural network structure exists in the most important part of the brain -- the frontal cortex -- and this network is less complex than has been thought and mostly unidirectional, new ...