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Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide. A practical guide to building neural networks using Microsoft's open source deep learning framework

Język publikacji: angielskim
Autor:
Willem Meints
Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide. A practical guide to building neural networks using Microsoft's open source deep learning framework Willem Meints - okladka książki

Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide. A practical guide to building neural networks using Microsoft's open source deep learning framework Willem Meints - okladka książki

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208
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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

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O autorze książki

Willem Meints is a software architect and engineer with a wide variety of interests. His background in software engineering hasnt stopped him from exploring new areas like machine learning as part of his daily work. This sparked a deep passion for everything related to artificial intelligence and deep learning. Willem studied electronics after his high-school career but quickly discovered he had more fun building applications. This led to his decision to leave the world of electronics and find a career in software engineering. After he finished his bachelor in software engineering he started working for Info Support where hes been working ever since.

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