Hands-On Artificial Intelligence for Beginners: An introduction to AI concepts, algorithms, and their implementation

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 Description
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.
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 for
This 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.
Table of Contents

The History of AI

Machine Learning Basics

Platforms and Other Essentials

Your First Artificial Neural Networks

Convolutional Neural Networks

Recurrent Neural Networks

Generative Models

Reinforcement Learning

Deep Learning for Intelligent Agents

Deep Learning for Game Playing

Deep Learning for Finance

Deep Learning for Robotics

Deploying and Maintaining AI Applications