Python Wrapper API for CNTK 1.5¶
CNTK, the Computational Network Toolkit, is a system for describing, training, and executing computational networks, a unified framework for describing arbitrary learning machines, such as deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), long short term memory (LSTM), logistic regression, and maximum entropy model. CNTK is an implementation of computational networks that supports both CPU and GPU.
This page describes the Python Wrapper for CNTK version 1.5. This is an ongoing effort to expose such an API to the CNTK system, thus enabling the use of higher-level tools such as IDEs to facilitate the definition of computational networks, to execute them on sample data in real time.