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The Deep Learning AI Playbook

similar situation with Deep Learning AI. The developments may be mind-boggling but its monetization is far from being obvious. This book presents;

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Artificial Intelligence

that has never been seen before. This book attempts to help the reader on their AI journey by covering the concepts of AI, Machine Learning;

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Advanced Deep Learning with Keras

, GANs, VAEs, and deep reinforcement learning that drive today's most impressive AI results. Key Features Explore the most advanced deep;

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Deep Learning in Biomedical and Health Informatics

Provides a proficient guide on the relationship between AI and healthcare and how AI is changing all aspects of the health care industry;

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Hands-On Artificial Intelligence on Amazon Web Services

exploring the importance of a feedback loop in machine learning. By the end of this book, you will have the skills you need to implement AI in AWS;

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Ascend AI Processor Architecture and Programming

programming technology needed by researchers developing AI applications. Chapters cover the theoretical fundamentals of AI and deep learning;

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AI for Cars

, recommender systems and on to deep learning, all within the automobile world.;

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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications;

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Reinforcement Learning

learning, including Markov's Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI before;

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Deep Learning and the Game of Go

applying advanced AI techniques, in particular deep learning and reinforcement learning, users can train their Go-bot in the rules and tactics;

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Deep Learning and Practice with MindSpore

AI computing framework. Divided into 14 chapters, the book covers deep learning, deep neural networks (DNNs), convolutional neural networks;

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Deep Learning and Practice with MindSpore

AI computing framework. Divided into 14 chapters, the book covers deep learning, deep neural networks (DNNs), convolutional neural networks;

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Beginning Artificial Intelligence with the Raspberry Pi

fundamental AI concepts. In addition, the Wolfram language will be used as part of the deep machine learning demonstrations. A series of projects will;

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Guide to Deep Learning Basics

as a living being Investigates the issue of computational complexity through deep-learning strategies for understanding AI-complete problems;

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AI Concepts for Business Applications

business applications that use AI and the breakthrough form of AI -- deep learning, provides his readers with a no math explanation of deep;

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The Deep Learning Revolution

sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations;

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TensorFlow 2 Reinforcement Learning Cookbook

Discover recipes for developing AI applications to solve a variety of real-world business problems using reinforcement learning Key;

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Deep Reinforcement Learning with Python

learning developers and architects who want to stay ahead of the curve in the field of AI and deep learning.;

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Deep Learning and Linguistic Representation

The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range;

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Deep Learning and Linguistic Representation

The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range;

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Case-Based Reasoning Research and Development

. They deal with AI and related research focusing on comparison and integration of CBR with other AI methods such as deep learning architectures;

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Practical AI on the Google Cloud Platform Utilizing Google's StateoftheArt AI Cloud Services

free (or affordable) state-of-the-art models and training tools to get you started. With this book, you'll learn how to use Google's AI-powered;

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Artificial Intelligence and Deep Learning in Pathology

knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general;

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Confluence of AI, Machine, and Deep Learning in Cyber Forensics

of AI, Machine, and Deep Learning in Cyber Forensics contains cutting-edge research on the latest AI techniques being used to design and build;

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Confluence of AI, Machine, and Deep Learning in Cyber Forensics

of AI, Machine, and Deep Learning in Cyber Forensics contains cutting-edge research on the latest AI techniques being used to design and build;

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The Development of Deep Learning Technologies

full materialization of AI. Focusing on the development of deep learning technologies, this book also discusses global trends, the status;

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Einde inhoud

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