Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide

Learn how to train popular deep learning architectures such as autoencoders, convolutional and recurrent neural networks while discovering how you can use deep learning models in your software applications with Microsoft Cognitive Toolkit

Key Features

• Understand the fundamentals of Microsoft Cognitive Toolkit and set up the development environment
• Train different types of neural networks using Cognitive Toolkit and deploy it to production
• Evaluate the performance of your models and improve your deep learning skills

Book Description

What you will learn

• Set up your deep learning environment for the Cognitive Toolkit on Windows and Linux
• Pre-process and feed your data into neural networks
• Use neural networks to make effcient predictions and recommendations
• Train and deploy effcient neural networks such as CNN and RNN
• Detect problems in your neural network using TensorBoard
• Integrate Cognitive Toolkit with Azure ML Services for effective deep learning

Who this book is for

Data Scientists, Machine learning developers, AI developers who wish to train and deploy effective deep learning models using Microsoft CNTK will find this book to be useful. Readers need to have experience in Python or similar object-oriented language like C# or Java.