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Hands-On Artificial Intelligence for Beginners - An introduction to AI concepts, algorithms, and their implementation (Paperback)
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Hands-On Artificial Intelligence for Beginners - An introduction to AI concepts, algorithms, and their implementation (Paperback)
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Grasp the fundamentals of Artificial Intelligence and build your
own intelligent systems with ease Key Features Enter the world of
AI with the help of solid concepts and real-world use cases Explore
AI components to build real-world automated intelligence Become
well versed with machine learning and deep learning concepts Book
DescriptionVirtual 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. What you will learn Use TensorFlow
packages to create AI systems Build feedforward, convolutional, and
recurrent neural networks Implement generative models for text
generation Build reinforcement learning algorithms to play games
Assemble RNNs, CNNs, and decoders to create an intelligent
assistant Utilize RNNs to predict stock market behavior Create and
scale training pipelines and deployment architectures for AI
systems Who this book is forThis book is designed for beginners in
AI, aspiring AI developers, as well as machine learning enthusiasts
with an interest in leveraging various algorithms to build powerful
AI applications.
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