Digit recognition neural network using the MNIST dataset. Features include a full gui, convolution, pooling, momentum, nesterov momentum, RMSProp, batch normalization, and deep networks.
-
Updated
Jun 8, 2020 - C#
Digit recognition neural network using the MNIST dataset. Features include a full gui, convolution, pooling, momentum, nesterov momentum, RMSProp, batch normalization, and deep networks.
Uses a collection of human chess games to have an AI learn to play chess.
Add a description, image, and links to the nesterov-momentum topic page so that developers can more easily learn about it.
To associate your repository with the nesterov-momentum topic, visit your repo's landing page and select "manage topics."