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)

Human biomimicking

In this section, the difference between neuroscience research on the brain and deep learning research on the mind has led to TensorFlow and TensorBoard. With TensorFlow, our representation of image recognition in a mathematical graph data flow structure has become an extremely efficient model. TensorBoard provides a visual representation of what we are building.

TensorFlow represents how our mind recognizes images (and other elements). TensorBoard enables our minds to visualize that representation and improve it.

TensorFlow, an open source machine learning framework

TensorFlow relies on graph representations of data flow. The graph computes dependencies between operations.

When using Keras, as in Chapter...