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how you can use deep learning models in your software applications with Microsoft Cognitive Toolkit Key Features Understand the fundamentals;
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using Microsoft Cognitive Services APIs Apply deep learning using TensorFlow and Microsoft Cognitive Toolkit (CNTK) Solve enterprise problems;
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guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good;
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guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good;
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Microsoft Project enables users to efficiently plan and manage project information. This guide to the software provides a quick start;
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Use this hands-on guide book to learn and explore cognitive APIs developed by Microsoft and provided with the Azure platform. This book;
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Supervised and unsupervised machine learning made easy in Scala with this quick-start guide. Key Features Construct and deploy machine;
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how the toolkit of deep learning is closely tied with the sparse/low rank methods and algorithms, providing a rich variety of theoretical and;
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Deep Learning is now synonymous with applied machine learning. Many technology giants (e.g. Google, Microsoft, Apple, IBM) as well as start;
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at the start of each chapter as a quick reference. 7. It has a new chapter introducing Microsoft Project Server.;
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) toolkit. This book includes practical examples illustrating automated deep learning approaches and provides techniques to facilitate your deep;
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Thank you for choosing What s New Microsoft Office Project 2007. We designed this book as a quick learning guide to get you up to speed;
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Save money on optimizing Windows performance with deep technical troubleshooting that tells you "What would Microsoft do to solve this;
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those wanting to explore deep learning with PyTorch to harness its power. This book will introduce you to the PyTorch deep learning library and;
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experienced BizTalk developers, administrators, and architects, as well as IT managers and BizTalk business analysts. Knowledge and experience with;
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scientist's 'toolkit' - the vast range of methods and tools that cognitive scientists use to study the mind. Thematically organized, Cognitive Science;
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Dive deeper into neural networks and get your models trained, optimized with this quick reference guide Key Features A quick reference to;
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Microsoft Excel By: The simplest and quickest guide to operating Excel's complex system! Need to learn Excel quick and easy? Want to know;
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With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that's paving;
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building smart games Implement deep learning models and neural networks with Python Book DescriptionThe number of applications of deep learning and;
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Do You Need a Quick Start Guide to Trade Options, Learning Risks and Rewards, and Overcome Fear and Anxiety in Investing;
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Do You Need a Quick Start Guide to Trade Options, Learning Risks and Rewards, and Overcome Fear and Anxiety in Investing;
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applications. This book introduces a broad range of topics in deep learning. The authors start with the fundamentals, architectures, tools needed for;
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Quick Course books offer you streamlined instruction in the form of no-nonsense, to-the-point tutorials and learning exercises. The core;
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to doing deep learning work with Pytorch. It is not an academic textbook and does not try to teach deep learning principles. The book will;
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to deep learning in AI and NLP with current research on Deep Neural Networks in computational linguistics. is self-contained and suitable;
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to deep learning in AI and NLP with current research on Deep Neural Networks in computational linguistics. is self-contained and suitable;
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