Born in the 1950s, the concept of an artificial neural network has progressed considerably. Today, known as “deep learning”, its uses have expanded to many areas, including finance.

Google’s DeepMind company has recently released a state-of-the-art deep-learning model called Perceiver that receives and processes multiple input data ranging from audio to images, similarly to ...

Deep neural networks can solve the most challenging problems, but require abundant computing power and massive amounts of data.

Engineering diagram analysis has emerged as a pivotal discipline within the modern engineering landscape. Deep learning techniques are increasingly utilised to automatically digitise, interpret ...

Deep convolutional neural networks (DCNN) are currently the most successful models for accurately recognizing objects on a fast timescale (less than 100 milliseconds) and have a general ...

Discover the best deep learning software for training and deploying neural networks with powerful features and customizable options.

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.

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

Deep Neural Networks Help to Explain Living Brains Deep neural networks, often criticized as “black boxes,” are helping neuroscientists understand the organization of living brains. Computational ...