returned for Tags:"lstm"
Full TensorFlow 1.10 API binding for .NET.
Comparison with TensorFlowSharp: https://github.com/losttech/Gradient/#why-not-tensorflowsharp
Comparison with TensorFlow.NET: https://github.com/losttech/Gradient/#why-not-tensorflow-net
Allows building arbitrary machine learning models, training them,...
DyNet is a neural network library developed by Carnegie Mellon University and many others. It is written in C++ (with bindings in Python and C#) and is designed to be efficient when run on either CPU or GPU, and to work well with networks that have dynamic structures that change for every training...
A complete C# re-write of Berkeley's open source Convolutional Architecture for Fast Feature Encoding (CAFFE) for Windows C# Developers with full On-line Help, now with NoisyNet, Deep Q-Network and Policy Gradient Reinforcement Learning, cuDNN LSTM Recurrent Learning, and Neural Style Transfer...