Deep Learning with Python
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Deep Learning with Python

4.63 (681 ratings by Goodreads)
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Description

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.
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Product details

  • Paperback | 384 pages
  • 190 x 235 x 20mm | 721g
  • New York, United States
  • English
  • 1617294438
  • 9781617294433
  • 12,243

Review Text

Deep learning is applicable to a widening range of artificial intelligence problems, such as...
show more

About Francois Chollet

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.
show more

Rating details

681 ratings
4.63 out of 5 stars
5 71% (481)
4 24% (161)
3 5% (32)
2 1% (5)
1 0% (2)
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