Convolutional Neural Networks for MNIST Data Using PyTorch Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to ...

Convolutional neural networks (CNNs) are a type of neural network that is designed to capture increasingly more complex features within its input data. To do this, CNNs are constructed from a ...

By interpreting neural networks, it is possible to uncover the black box, providing explanations to support a transparent and reliable use of ML.

Phase-Functioned Neural Networks for Character Control is a fundamentally new way of handling character animation that will be presented at the ACM's upcoming SIGGRAPH conference this summer.

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory ...