Book Image

Artificial Intelligence with Python - Second Edition

By : Prateek Joshi
Book Image

Artificial Intelligence with Python - Second Edition

By: Prateek Joshi

Overview of this book

Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.
Table of Contents (26 chapters)
24
Other Books You May Enjoy
25
Index

The basics of Convolutional Neural Networks

CNNs in general, and Generative Adversarial Networks (GANs) in particular, have been in the news lately. A GAN is a class of CNN developed by Ian Goodfellow and his colleagues initially in 2014. In GANs, two neural networks compete against each other in a game (in a game theory sense). Given a dataset, a GAN learns to create new data examples similar to the training set. For example, it might be a little slow but there is a website that will generate faces of people that don't exist.

We'll let your imagination run wild but it would certainly be possible to create a film using some of these generated "humans" to star in the movie. There is other research to try to solve the converse. Given an image, can we determine if it's a GAN-generated image or a real person? You can play around with the website here:

https://thispersondoesnotexist.com/

To use it, just keep on refreshing the page and it will generate...