Deep Learning with Microsoft Cognitive Toolkit

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Key Features
Build deployable solutions to tackle common deep learning problems.
Build high speed and efficient deep learning models using Microsoft Cognitive Toolkit.
Explore the various neural networks with the help of this comprehensive guide
Book Description Right from setting up your neural network, this book will guide you to achive incredible computation speed with Microsoft Cognitive Tooklit. We will delve into machine learning aspects like speech comprehension, text to speech conversion, voice recognition, object recognition and many more. You will learn about the Network Description Language and setting up the neural network. Further you will then explore the various deep learning architectures and how to use them to accelerate your computations. With practical examples, this book will teach you to work with time-series data and to create, train, and validate test sets. Later, you will understand how to work with larger datasets and dealing with heterogenous input data. You will also learn about the latest advances such as bindings with Python and C++.By the end of this book, you will be able to migrate from other toolkits. What you will learn
Learn basic concepts in deep learning
Know how to prepare data that can be consumed by CNTK for training
Discover how to train simple deep learning models with the Python API of CNTK
Evaluate trained CNTK models on new test data sets
Scale the execution of model training across multiple GPUs and multiple machines
Explore the common deep learning models for speech recognition, language understanding, image classification, etc.
Understand how to use CNTK to solve real-word problems such as face and emotion recognition, image segmentation, neural artistic style, image captioning, gaming, etc.