Book Image

Hands-On Artificial Intelligence for Beginners

By : Patrick D. Smith, David Dindi
Book Image

Hands-On Artificial Intelligence for Beginners

By: Patrick D. Smith, David Dindi

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)

Introduction

AI has been making a splash lately in the game-playing arena. DeepMind, the Google research group that created AlphaGo, have been proponents of utilizing reinforcement learning methods for game-playing applications. More and more video game companies are using deep learning methods for their AI players. So, where are we coming from, and where are we going with AI in the gaming space?

Traditionally, game-playing systems have been made up of a combination of hardcoded rules that have covered the range of behaviors that the AI is supposed to cover. Have you ever played an older adventure, first-person shooter, or strategy game where the AI players were clearly operating off a hardcoded strategy? More often than not, these AIs used a pathfinding algorithm such as Dijkstra's Algorithm to find the shortest distance between two points. IBM's Deep Blue, which won...