Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

This POC is using CNTK 2.1 to train model for multiclass classification of images. Our model is able to recognize specific objects (i.e. toilet, tap, sink, bed, lamp, pillow) connected with picture types we are looking for. It plays a big role in a process which will be used to classify pictures from different hotels and determine whether it's a picture of bathroom, bedroom, hotel front, swimming pool, bar, etc.

This sample project shows off how to prepare and deploy to Azure Web Apps a simple Python web service with an image classifying model produced in CNTK (Cognitive Toolkit) using FasterRCNN

C# library for easy Deep Learning and Deep Reinforcement Learning. It is wrapper over C# CNTK API. Has implementation of layers (LSTM, Convolution etc.), optimizers, losses, shortcut-connections, sequential model, sequential multi-output model, agent teachers, policy gradients, actor-critic etc. Contains helpers for work with dataset (split, statistics, SMOTE etc). Allows train, evaluate and inference deep neural networks in style similar to Keras.

A С# adapter to query Intento API – a single API to Cognitive AI services from many vendors

A JS adapter to query Intento API – a single API to Cognitive AI services from many vendors

Porting of the CNTK RNN Python example to C# API

Machine learning for multimedia

CNTK Deep Neural Network Builder

CNTKのチュートリアルの日本語訳 (Japanese translation of CNTK tutorials)

Cognitive CSharpKit　(Cognitive ToolkitのC#ラッパー)