About this item
Highlights
- DESCRIPTIONDeep learning is applicable to a widening range of artificialintelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and opticalcharacter recognition.
- About the Author: AUTHOR BIO Francois Chollet is the author of Keras, one of the most widely used libraries for deep learning in Python.
- 384 Pages
- Computers + Internet, Programming Languages
Description
About the Book
Deep learning is applicable to a widening range of artificial
intelligence problems, such as image classification, speech recognition,
text classification, question answering, text-to-speech, and optical
character recognition.
Deep Learning with Python is structured around a series of practical
code examples that illustrate each new concept introduced and
demonstrate best practices. By the time you reach the end of this book,
you will have become a Keras expert and will be able to apply deep
learning in your own projects.
KEY FEATURES
- Practical code examples
- In-depth introduction to Keras
- Teaches the difference between Deep Learning and AI
ABOUT THE TECHNOLOGY
Deep learning is the technology behind photo tagging systems at
Facebook and Google, self-driving cars, speech recognition systems on
your smartphone, and much more.
AUTHOR BIO
Francois Chollet is the author of Keras, one of the most widely used
libraries for deep learning in Python. He has been working with deep neural
networks since 2012. Francois is currently doing deep learning research at
Google. He blogs about deep learning at blog.keras.io.
Book Synopsis
DESCRIPTION
Deep learning is applicable to a widening range of artificial
intelligence problems, such as image classification, speech recognition,
text classification, question answering, text-to-speech, and optical
character recognition.
Deep Learning with Python is structured around a series of practical
code examples that illustrate each new concept introduced and
demonstrate best practices. By the time you reach the end of this book,
you will have become a Keras expert and will be able to apply deep
learning in your own projects.
KEY FEATURES
- Practical code examples
- In-depth introduction to Keras
- Teaches the difference between Deep Learning and AI
ABOUT THE TECHNOLOGY
Deep learning is the technology behind photo tagging systems at
Facebook and Google, self-driving cars, speech recognition systems on
your smartphone, and much more.
AUTHOR BIO
Francois Chollet is the author of Keras, one of the most widely used
libraries for deep learning in Python. He has been working with deep neural
networks since 2012. Francois is currently doing deep learning research at
Google. He blogs about deep learning at blog.keras.io.
From the Back Cover
Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and optical character recognition.Deep Learning with Python is structured around a series of practical code examples that illustrate each new concept introduced and demonstrate best practices. By the time you reach the end of this book, you will have become a Keras expert and will be able to apply deep learning in your own projects.
Deep learning is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.
Review Quotes
'...is focused, concise and precise. It provides express and effective revision material and techniques without compromising the depth of your understanding.' Avis Whyte, Senior Research Fellow, University of Westminster 'An accessible quick revision guide with all the essential information in one place which makes a good addition to textbooks and other study material.' J oanne Atkinson, Director of Postgraduate Law Programmes, University of Portsmouth '... excellent companion for students. It is to be used as a revision guide and will be useful for students who are conversant with the principles and case law of each topic.' Alison Poole, Teaching Fellow, University of Portsmouth 'This series is great - after having revised everything, it showed me a way to condense all the information and gave me an idea of how I would go about structuring my essays.' Arama Lemon, Student, Coventry University 'The Law Express Q&A series is perfect as it targets different learning styles - it includes diagrams and flowcharts that you can follow for easy application with confidence. It's perfect for anyone who wants to receive an extra boost with their revision!' Mariam Hussain, Student, University of Westminster
About the Author
AUTHOR BIOFrancois Chollet is the author of Keras, one of the most widely used
libraries for deep learning in Python. He has been working with deep neural
networks since 2012. Francois is currently doing deep learning research at
Google. He blogs about deep learning at blog.keras.io.