Book Image

Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide

By : Willem Meints
Book Image

Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide

By: Willem Meints

Overview of this book

Cognitive Toolkit is a very popular and recently open sourced deep learning toolkit by Microsoft. Cognitive Toolkit is used to train fast and effective deep learning models. This book will be a quick introduction to using Cognitive Toolkit and will teach you how to train and validate different types of neural networks, such as convolutional and recurrent neural networks. This book will help you understand the basics of deep learning. You will learn how to use Microsoft Cognitive Toolkit to build deep learning models and discover what makes this framework unique so that you know when to use it. This book will be a quick, no-nonsense introduction to the library and will teach you how to train different types of neural networks, such as convolutional neural networks, recurrent neural networks, autoencoders, and more, using Cognitive Toolkit. Then we will look at two scenarios in which deep learning can be used to enhance human capabilities. The book will also demonstrate how to evaluate your models' performance to ensure it trains and runs smoothly and gives you the most accurate results. Finally, you will get a short overview of how Cognitive Toolkit fits in to a DevOps environment
Table of Contents (9 chapters)

Summary

In this chapter, we've looked at what it takes to bring deep learning and machine learning models to production. We've explored some of the basic principles that will help you to be successful with deep learning in a continuous delivery environment.

We've taken a look at exporting models to ONNX to make it easier to deploy your trained models to production and keep them running for years, thanks to the portable nature of the ONNX format. We then explored how you can use the CNTK API in other languages, such as C#, to make predictions.

Finally, we've looked at using Azure Machine Learning service to level-up your DevOps experience with experiment management, model management, and deployment tools. Although you don't need a tool like this to get started, it really helps to have something like Azure Machine Learning service in your arsenal when...