6 packages returned for Tags:"rnn"

This is a lightweight package which is able to run neural networks with weights from different sources like Keras models.

FULL TensorFlow 1.15 for .NET with Keras. Build, train, checkpoint, execute models. 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... More information

FULL TensorFlow 2.5+ for .NET with Keras. Build, train, checkpoint, execute models. Samples: https://github.com/losttech/Gradient-Samples, https://github.com/losttech/YOLOv4, https://github.com/losttech/Siren Deep learning with .NET blog: https://ml.blogs.losttech.software/ Comparison with... More information

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 Seq2Seq/Attention, Single-Shot MultiBox, TripletNet, SiameseNet, NoisyNet, Deep Q-Network and Policy Gradient Reinforcement... More information

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... More information

Giving Windows C# developers easy access to the ONNX AI Model Format for easy model conversions.