Book Image

Keras 2.x Projects

By : Giuseppe Ciaburro
Book Image

Keras 2.x Projects

By: Giuseppe Ciaburro

Overview of this book

Keras 2.x Projects explains how to leverage the power of Keras to build and train state-of-the-art deep learning models through a series of practical projects that look at a range of real-world application areas. To begin with, you will quickly set up a deep learning environment by installing the Keras library. Through each of the projects, you will explore and learn the advanced concepts of deep learning and will learn how to compute and run your deep learning models using the advanced offerings of Keras. You will train fully-connected multilayer networks, convolutional neural networks, recurrent neural networks, autoencoders and generative adversarial networks using real-world training datasets. The projects you will undertake are all based on real-world scenarios of all complexity levels, covering topics such as language recognition, stock volatility, energy consumption prediction, faster object classification for self-driving vehicles, and more. By the end of this book, you will be well versed with deep learning and its implementation with Keras. You will have all the knowledge you need to train your own deep learning models to solve different kinds of problems.
Table of Contents (13 chapters)

The environment for controlling robot mobility

A typical feature of autonomous systems is mobility. A robot that performs the intended task needs to move physically within an environment, and must inevitably incorporate a certain autonomy that allows it to move safely, avoiding obstacles and not posing a threat to any nearby living beings.

Obviously, different levels of autonomy can be identified, from fully autonomous systems that never, or almost never, require human intervention, to remote controlled systems that can be more or less autonomous, depending on whether they rely solely on the commands given to them or whether some part of the operations is decided by the robot itself.

To create an automatic system to control the mobility of a robot, it is essential to have a suitable environment that allows us to simulate the system in a virtual environment. In this way, we will...