Book Image

Python Deep Learning Cookbook

By : Indra den Bakker
Book Image

Python Deep Learning Cookbook

By: Indra den Bakker

Overview of this book

Deep Learning is revolutionizing a wide range of industries. For many applications, deep learning has proven to outperform humans by making faster and more accurate predictions. This book provides a top-down and bottom-up approach to demonstrate deep learning solutions to real-world problems in different areas. These applications include Computer Vision, Natural Language Processing, Time Series, and Robotics. The Python Deep Learning Cookbook presents technical solutions to the issues presented, along with a detailed explanation of the solutions. Furthermore, a discussion on corresponding pros and cons of implementing the proposed solution using one of the popular frameworks like TensorFlow, PyTorch, Keras and CNTK is provided. The book includes recipes that are related to the basic concepts of neural networks. All techniques s, as well as classical networks topologies. The main purpose of this book is to provide Python programmers a detailed list of recipes to apply deep learning to common and not-so-common scenarios.
Table of Contents (21 chapters)
Title Page
About the Author
About the Reviewer
Customer Feedback


So far, we've discussed supervised learning and unsupervised learning techniques. The third pillar of machine learning is reinforcement learning (RL). In learning, the task isn't supervised nor unsupervised. Specifically, in RL, an agent has an end goal when receiving observations, but it doesn't receive feedback from the environment at every step. Instead, the agent gets positive or negative rewards only after a certain number of steps. This is interesting, because one could argue that, for some tasks, this is the same way humans learn. What makes this type of problem more complicated than normal supervised learning problems is that we don't explicitly now which action in one of the previous steps caused the desired reward. This is the credit assignment problem.

Reinforcement learning is a hot topic nowadays because there has been a lot of progress in this field. Moreover, the problems solved by these algorithms are interesting and visually appealing. For example, with RL...