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)

Chapter 5 – Manage the Power of Machine Learning and Deep Learning

1. TensorBoard is simply a nice displaying program. (Yes | No)

The answer is yes and no. Yes, TensorBoard is a friendly interface for visualizing a dataflow graph. No, TensorBoard is not only nice but is also critical to designing the architecture of a project even before the data feed aspect of the program is written. In real-life projects, a good architecture shows that you can manage the power of ML/DL programs.

2. Defining functions at the beginning of the source code is just like standard programs. (Yes | No)

No. Seeing variables and arrays at the beginning of a TensorFlow program could lead one to think that it is just a formality. However, these lines are in fact the real program, the dataflow graph, the architecture.

3. TensorFlow is a library add-on to Python that provides some cool functions...