Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Learning Data Mining with Python
  • Table Of Contents Toc
  • Feedback & Rating feedback
Learning Data Mining with Python

Learning Data Mining with Python

By : Robert Layton
3.7 (7)
close
close
Learning Data Mining with Python

Learning Data Mining with Python

3.7 (7)
By: Robert Layton

Overview of this book

If you are a programmer who wants to get started with data mining, then this book is for you.
Table of Contents (20 chapters)
close
close
Learning Data Mining with Python
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 11: Classifying Objects in Images Using Deep Learning


Keras and Pylearn2

Other deep learning libraries that are worth looking at, if you are going further with deep learning in Python, are Keras and Pylearn2. They are both based on Theano and have different usages and features.

Keras can be found here: https://github.com/fchollet/keras/.

Pylearn2 can be found here: http://deeplearning.net/software/pylearn2/.

Both are not stable platforms at the time of writing, although Pylearn2 is the more stable of the two. That said, they both do what they do very well and are worth investigating for future projects.

Another library called Torch is very popular but, at the time of writing, it doesn't have python bindings (see http://torch.ch/).

Mahotas

Another package for image processing is Mahotas, including better and more complex image processing techniques that can help achieve better accuracy, although they may come at a high computational cost. However, many image processing tasks are good candidates for parallelization. More techniques on image classification can be found in the research literature, with this survey paper as a good start: http://luispedro.org/software/mahotas/.

http://ijarcce.com/upload/january/22-A%20Survey%20on%20Image%20Classification.pdf

Other image datasets are available at:

http://rodrigob.github.io/are_we_there_yet/build/classification_datasets_results.html

There are many datasets of images available from a number of academic and industry-based sources. The linked website lists a bunch of datasets and some of the best algorithms to use on them. Implementing some of the better algorithms will require significant amounts of custom code, but the payoff can be well worth the pain.

Limited Time Offer

$10p/m for 3 months

Get online access to our library of over 7000 practical eBooks and videos, constantly updated with the latest in tech and supported with AI assistants
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon

Create a Note

Modal Close icon
You need to login to use this feature.

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Delete Note

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Edit Note

Modal Close icon
Write a note (max 255 characters)
Cancel
Update Note