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.
General
Imprint: |
Manning Publications
|
Country of origin: |
United States |
Release date: |
2018 |
Authors: |
Francois Chollet
|
Dimensions: |
253 x 189 x 19mm (L x W x T) |
Format: |
Paperback
|
Pages: |
384 |
ISBN-13: |
978-1-61729-443-3 |
Categories: |
Books >
Computing & IT >
General
Promotions
|
LSN: |
1-61729-443-8 |
Barcode: |
9781617294433 |
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