Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Applied Deep Learning with Python

You're reading from   Applied Deep Learning with Python Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions

Arrow left icon
Product type Paperback
Published in Aug 2018
Publisher
ISBN-13 9781789804744
Length 334 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Alex Galea Alex Galea
Author Profile Icon Alex Galea
Alex Galea
Luis Capelo Luis Capelo
Author Profile Icon Luis Capelo
Luis Capelo
Arrow right icon
View More author details
Toc

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Hands-On Data Science and Python Machine Learning
Frank Kane

ISBN: 978-1-78728-074-8

  • Learn how to clean your data and ready it for analysis
  • Implement the popular clustering and regression methods in Python
  • Train efficient machine learning models using decision trees and random forests
  • Visualize the results of your analysis using Python's Matplotlib library
  • Use Apache Spark's MLlib package to perform machine learning on large datasets

Beginning Application Development with TensorFlow and Keras
Luis Capelo

ISBN: 978-1-78953-729-1

  • Learn how to create an application that generates predictions from deep learning.
  • Learn to build a deep learning model with different components together and measuring their performance in prediction.
  • Exploring the common components of...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at AU $24.99/month. Cancel anytime