CNTK - Microsoft’s open-source deep-learning toolkit
author: Amit Agarwal, Microsoft
published: Sept. 16, 2016, recorded: August 2016, views: 3786
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Train neural networks like Microsoft product groups! This talk will introduce the Computational Network Toolkit, or CNTK, Microsoft’s scalable open-source deep-learning toolkit for Windows and Linux. CNTK is a powerful computation-graph based deep-learning toolkit for training and evaluating deep neural networks. Microsoft product groups use CNTK, for example to create the Cortana speech models and web ranking.
This tutorial is targeted at current or future deep-learning practitioners looking for a tool that is easy to use yet efficient and scalable across multi-machine GPU clusters for real-world workloads.
The tutorial assumes basic knowledge of deep learning. Participants will get to understand CNTK’s core concepts and usage, and practice to run neural-network trainings with CNTK for image recognition and text processing. The tutorial will be a starting point for solving your own real-world deep-learning task with CNTK.
To run the examples, a laptop with Windows 7+ or Linux is required, and a CUDA-capable GPU is recommended.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !
Write your own review or comment: