Pooling layers play a key role in deep neural networks, especially in convolutional neural networks (CNNs). In this video, we break down what pooling layers do, how they reduce spatial dimensions, and ...

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

A new technical paper titled “Hardware implementation of backpropagation using progressive gradient descent for in situ training of multilayer neural networks” was published by researchers at ...