Deep Learning with Python

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.