This lab will provide hands-on experience with Microsoft's open-source production-grade deep learning Cognitive Toolkit, formerly CNTK. The Cognitive Toolkit is used in several Microsoft products for training and evaluating deep neural networks. The same features are available for everyone outside Microsoft and is supported for both Windows and Linux platforms with Python/C++ API. The Cognitive Toolkit supports feed-forward, convolutional, recurrent networks, and reinforcement learning for speech, vision, and text data, also in combination. The hands-on lab will help you build end-to-end use cases with basic FCN to more advanced CNN, RNN/LSTM and auto-encoders in different domains. You'll also learn how the toolkit leverages multiple GPUs for advanced optimization and run the models on Azure cloud. Attendees need to install the CNTK Binaries on their local machines if they want to have a hands-on experience on their local machines. The instructions can be found here - https://github.com/Microsoft/CNTK/wiki/Setup-CNTK-on-your-machine. This lab utilizes GPU resources in the cloud, you are required to bring your own laptop.