Deep Learning with Python
(Sprache: Englisch)
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...
intelligence problems, such as image classification, speech recognition,
text classification, question answering, text-to-speech, and optical
character recognition.
Deep Learning...
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Produktinformationen zu „Deep Learning with Python “
Klappentext zu „Deep Learning with Python “
Deep learning is applicable to a widening range of artificialintelligence 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
GÇó Practical code examples
GÇó In-depth introduction to Keras
GÇó 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.
Autoren-Porträt von Francois Chollet
AUTHOR BIOFrancois Chollet is the author of Keras, one of the most widely usedlibraries for deep learning in Python. He has been working with deep neuralnetworks since 2012. Francois is currently doing deep learning research atGoogle. He blogs about deep learning at blog.keras.io.
Bibliographische Angaben
- Autor: Francois Chollet
- 384 Seiten, Maße: 18,4 x 23,3 cm, Taschenbuch, Englisch
- Verlag: MANNING PUBN
- ISBN-10: 1617294438
- ISBN-13: 9781617294433
- Erscheinungsdatum: 22.12.2017
Sprache:
Englisch
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