471 packages returned for Tags:"supervised-neural-network"

Bright Wire is an open source machine learning library. Includes neural networks (feed forward, convolutional and recurrent), naive bayes, linear regression, decision trees, logistic regression, k-means clustering and dimensionality reduction.
A simple lightweight Neural network library, suitable for education and enthusiasts. Currently in development and not finished yet, please look forward for updates.
Deep learning library for F#. Provides symbolic model differentiation, automatic differentiation and compilation to CUDA GPUs. Includes optimizers and model blocks used in deep learning. Make sure to set the platform of your project to x64.
Highly extendable neural network framework. Allows you to customly define number of features (inputs), how many hidden layers exist and how many nodes exist on each layer, as well as how many output neurons there are.
This is the .net standard 2 version of Bright Wire. Bright Wire is an open source machine learning library. Includes deep learning (feed forward, convolutional and recurrent), naive bayes, linear regression, decision trees, logistic regression, k-means clustering and dimensionality reduction.
Developing a C# wrapper to help developer easily create and train deep neural network models. Easy to use library, just focus on research Multiple backend - ArrayFire (In Progress), TensorSharp (In Progress), CNTK (Not Started), TensorFlow (Not Started), MxNet (Not Started) CUDA/ OpenCL support for... More information