Deep Learning with Python (häftad)
Fler böcker inom
Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
384
Utgivningsdatum
2017-11-30
Förlag
Manning Publications
Dimensioner
234 x 184 x 19 mm
Vikt
644 g
Antal komponenter
1
ISBN
9781617294433
Deep Learning with Python (häftad)

Deep Learning with Python

Häftad Engelska, 2017-11-30
554
Skickas inom 3-6 vardagar.
Fri frakt inom Sverige för privatpersoner.
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.
Visa hela texten

Passar bra ihop

  1. Deep Learning with Python
  2. +
  3. Make Your Own Neural Network

De som köpt den här boken har ofta också köpt Make Your Own Neural Network av Tariq Rashid (häftad).

Köp båda 2 för 1083 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Bloggat om Deep Learning with Python

Övrig information

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.