Book Image

Python Deep Learning - Second Edition

By : Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
Book Image

Python Deep Learning - Second Edition

By: Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca

Overview of this book

With the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you’ll explore deep learning, and learn how to put machine learning to use in your projects. This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You’ll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You’ll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you’ll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota. By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications.
Table of Contents (12 chapters)

Fundamental deep learning concepts

In 1801, Joseph Marie Charles invented the Jacquard loom. Charles named the Jacquard, hence the name of its invention, was not a scientist, but simply a merchant. The Jacquard loom used a set of punched cards, where each card represented a pattern to be reproduced on the loom. At the same time, each card was an abstract representation of that pattern. Punched cards have been used since, for example, in the tabulating machine invented by Herman Hollerith in 1890, or in the first computers as a means to input code. In the tabulating machine, the cards were simply abstractions of samples to be fed into the machine to calculate statistics on a population. But in the Jacquard loom, their use was subtler, and each card represented the abstraction of a pattern that could be combined with others to create more complex patterns. The punched card is an...