One type of neural net with rising popularity is the generative adversarial neural network, or GAN. GANs are another evolution of artificial intelligence, frequently used to alter or generate images.

1943: McCulloch and Pitts created a mathematical model for neural networks, marking the theoretical inception of ANNs. 1958: Frank Rosenblatt introduced the Perceptron, the first machine capable of ...

Dr Hinton popularised a clever mathematical algorithm known as backpropagation to solve this problem in artificial neural networks.

Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code.

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.

Although artificial neural networks (ANN) are based on a mathematical model of the brain, the standard backpropagation algorithm used to train these networks is not based on any known biological ...

Ten years ago, Geoffrey Hinton and his University of Toronto students published the paper ImageNet Classification with Deep Convolutional Neural Networks, presenting the first convolutional neural ...

No one knew how to effectively train artificial neural networks with hidden layers — until 1986, when Hinton, the late David Rumelhart and Ronald Williams (now of Northeastern University) published ...