A learning process tunes these connection strengths via trial and error, attempting to maximize the neural network’s performance at solving some problem. The goal might be to match input data and make ...

Convolutional neural networks One of the key components of most deep learning–based computer vision applications is the convolutional neural network (CNN).

Neural network is a machine learning (ML) model that’s inspired by the function of the human brain.

For those areas where the practical applications of neural networks are clear, the problems backtracking the answer can be a deal-killer. For instance, if researchers in chemistry use a neural network ...

Deep neural networks will move past their shortcomings without help from symbolic artificial intelligence, three pioneers of deep learning argue in a paper published in the July issue of the ...

Neural network trained to solve quantum mechanical problems Trained on quantum mechanics, the network handles multi-body wavefunctions.