Product description: Deep Learning. Working with Python language and Keras library - François Chollet
Deep Learning. Working with the Python Language and the Keras Library is a must-read for anyone who is aware of, or wants to become familiar with, the tremendous advances made in artificial intelligence (AI) and machine and deep learning (ML, DL). This publication by François Chollet, best known as the author of the Deep Learning Keras deep learning library, includes not only tutorial information but also an attempt to capture the essence of deep learning, its applications and limitations. Complicated issues have been explained in an accessible way that allows you to apply Deep Learning techniques in your own projects. It is also a great help for students of not only technical faculties, but also those connected with cognitive science or linguistics.
Who is this publication for?
- For students
- For programmers
- For algorithm implementers
- For makers
- For everyone passionate about new technologies
No one knows the limits of Deep Learning technology
Subsequent chapters cover topics such as mathematical foundations of neural networks, using them, datasets, examples of their classification on specific examples (short newspaper articles or housing prices in Boston) or text processing. Appendices placed at the end of the book guide the reader through the process of setting up the Keras library using Python and running the codes. The index has not been forgotten - a structured list of terms is at our disposal, to which we can return when necessary or when we want to find specific information.
Author François Chollet works at Google in Mountain View, California, and is regarded as an authority on the development of deep learning techniques. He is the co-creator of the TensorFlow package. His research interests include image processing and the analysis of logical thinking processes.
- Author: François Chollet
- Original title: Deep Learning with Python
- Publisher: Helion SA
- Publication date: 2019
- Number of pages: 367
- ISBN: 978-83-283-4778-6