Book Image

Artificial Intelligence By Example

By : Denis Rothman
Book Image

Artificial Intelligence By Example

By: Denis Rothman

Overview of this book

Artificial intelligence has the potential to replicate humans in every field. Artificial Intelligence By Example serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies. Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examples, right from a simple chess engine to a cognitive chatbot, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and IoT, and develop emotional quotient in chatbots using neural networks. You will move on to designing AI solutions in a simple manner rather than get confused by complex architectures and techniques. This comprehensive guide will be a starter kit for you to develop AI applications on your own. By the end of this book, you will have understood the fundamentals of AI and worked through a number of case studies that will help you develop your business vision.
Table of Contents (19 chapters)

Conceptual Representation Learning

Artificial intelligence has just begun its long tryst with human intellect. Chapter 9, Getting Your Neurons to Work, showed the possibilities of a CNN built with Keras. Chapter 10, Applying Biomimicking to Artificial Intelligence, reproduced what humans use the most to represent a problem: visualization.

Understanding cutting-edge machine learning, and deep learning theory only marks the beginning of your adventure. The knowledge you have acquired should help you become an AI visionary. Take everything you see as opportunities and see how it can fit in your projects. Reach the limits and skydive beyond them.

This chapter focuses on decision-making and visual representations and explains the motivation leading to conceptual representation learning (CRL) and meta models (MM), which form CRLMMs. I developed this CRLMM method successfully for automatic...