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Hands-On Artificial Intelligence for Beginners

Hands-On Artificial Intelligence for Beginners

By : David Dindi, Patrick D. Smith
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Hands-On Artificial Intelligence for Beginners

Hands-On Artificial Intelligence for Beginners

By: David Dindi, Patrick D. Smith

Overview of this book

Virtual Assistants, such as Alexa and Siri, process our requests, Google's cars have started to read addresses, and Amazon's prices and Netflix's recommended videos are decided by AI. Artificial Intelligence is one of the most exciting technologies and is becoming increasingly significant in the modern world. Hands-On Artificial Intelligence for Beginners will teach you what Artificial Intelligence is and how to design and build intelligent applications. This book will teach you to harness packages such as TensorFlow in order to create powerful AI systems. You will begin with reviewing the recent changes in AI and learning how artificial neural networks (ANNs) have enabled more intelligent AI. You'll explore feedforward, recurrent, convolutional, and generative neural networks (FFNNs, RNNs, CNNs, and GNNs), as well as reinforcement learning methods. In the concluding chapters, you'll learn how to implement these methods for a variety of tasks, such as generating text for chatbots, and playing board and video games. By the end of this book, you will be able to understand exactly what you need to consider when optimizing ANNs and how to deploy and maintain AI applications.
Table of Contents (15 chapters)
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Summary

Since its beginnings in the 1940s and 1950s, AI has made great bounds. Many of the technologies and ideas that we are utilizing today are directly based on these early discoveries. Over the course of the latter half of the 20th century, pioneers such as Geoffrey Hinton have pushed AI forward through peaks and busts. Today, we are on track to achieve sustained AI development for the foreseeable future.

The development of AI technology has been closely aligned with the development of new hardware and increasingly large data sources. As we'll see throughout this book, great AI applications are built with data constraints and hardware optimization in mind. The next chapter will introduce you to the fundamentals of machine learning and AI. We will also cover probability theory, linear algebra, and other elements that will lay the groundwork for the future chapters.

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Hands-On Artificial Intelligence for Beginners
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