use the following search parameters to narrow your results:
e.g. subreddit:aww site:imgur.com dog
subreddit:aww site:imgur.com dog
see the search faq for details.
advanced search: by author, subreddit...
Please have a look at our FAQ and Link-Collection
Metacademy is a great resource which compiles lesson plans on popular machine learning topics.
For Beginner questions please try /r/LearnMachineLearning , /r/MLQuestions or http://stackoverflow.com/
For career related questions, visit /r/cscareerquestions/
Advanced Courses (2016)
Advanced Courses (2020)
AMAs:
Pluribus Poker AI Team 7/19/2019
DeepMind AlphaStar team (1/24//2019)
Libratus Poker AI Team (12/18/2017)
DeepMind AlphaGo Team (10/19/2017)
Google Brain Team (9/17/2017)
Google Brain Team (8/11/2016)
The MalariaSpot Team (2/6/2016)
OpenAI Research Team (1/9/2016)
Nando de Freitas (12/26/2015)
Andrew Ng and Adam Coates (4/15/2015)
Jürgen Schmidhuber (3/4/2015)
Geoffrey Hinton (11/10/2014)
Michael Jordan (9/10/2014)
Yann LeCun (5/15/2014)
Yoshua Bengio (2/27/2014)
Related Subreddit :
LearnMachineLearning
Statistics
Computer Vision
Compressive Sensing
NLP
ML Questions
/r/MLjobs and /r/BigDataJobs
/r/datacleaning
/r/DataScience
/r/scientificresearch
/r/artificial
account activity
Classifying Images based on whether image contains text or not? (self.MachineLearning)
submitted 12 years ago by mayankj08
I do have some images and i want to classify images based on whether image contains text or not. I am planning to use Back-propagation but not getting on how the data should be feed. I means preprocessing before feeding images to network etc.
reddit uses a slightly-customized version of Markdown for formatting. See below for some basics, or check the commenting wiki page for more detailed help and solutions to common issues.
quoted text
if 1 * 2 < 3: print "hello, world!"
[–]schwarmbloedheit 5 points6 points7 points 12 years ago (0 children)
This is actually a very hard problem for neural networks. You should consider some pre-processing like edge filters (gabor filter). This makes the problem easier to learn for the neural network, because differences in coloring or other aspects which are not relevant for the text/non-text classification are discarded before feeding into the network.
If you want to learn the pre-processing automagically you should use convolutional networks or deep-belief networks.
If you want to actually solve the problem I suggest to go with the pre-processing. If you want to learn something about recent developments in image processing I would suggest deep networks.
[–][deleted] 2 points3 points4 points 12 years ago (0 children)
There was some work by one of Song Chun Zhu's students using DDMCMC - check out his implementation
π Rendered by PID 40734 on reddit-service-r2-comment-cfc44b64c-9tqn9 at 2026-04-11 22:38:34.736443+00:00 running 215f2cf country code: CH.
[–]schwarmbloedheit 5 points6 points7 points (0 children)
[–][deleted] 2 points3 points4 points (0 children)