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)

Building the architecture of an FNN with TensorFlow

Before applying an FNN to a problem, an architecture of the network must be built. A TensorFlow architecture and solution to the XOR function is the place to start. The architecture of the example differs from the vintage, built-from-scratch solution but the concepts remain the same.

Writing code using the data flow graph as an architectural roadmap

TensorFlow is a graph-driven solution based on graph theory, a branch of mathematics. Designing deep learning without graphs would prove quite difficult. My XOR FNN built from scratch in Chapter 4, Become an Unconventional Innovator, fits the need of the case study described. However, if thousands of nodes are required, TensorFlow...