Is combining features deemed 'important' by different learning methods logical?
I apologize for the post's title, but hope to explain with an example. I have a simple binary classification problem involving hundreds/thousands of features to predict cancer. Given the field, a panel...
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Skymind - an open source deep learning startup.
submitted by alexgmcm [link][9 comments]
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Linear SVM
Hello Guys,My friend is facing issues trying to run Linear SVM for a large training data on his laptop. He wants to distribute it to multiple machines now and he is trying to figure out which is the...
View ArticleAre there any open source implementations of COTS HPC?
I was reading Deep learning with COTS HPC systems and the results seem pretty impressive. I have access to similar hardware that is used in the paper and wondered if this was something that had been...
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Sciencebox: easy to deploy scientific computing server
submitted by agconway [link][comment]
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Tapkee, "A flexible and efficient ะก++ template library for dimension reduction"
submitted by turnersr [link][comment]
View ArticleHaving trouble parallelizing recurrent long short-short term memory neural...
Typo in the title: long short-term memory*So I recently learned to represent my network as a matrix in order to speed it up, presumably because as a matrix operation it can benefit from...
View ArticleInteresting/spectacular ML-related GIFs
Let's share spectacular visualizations of some ML algorithms (like kNN, clustering, etc.) submitted by bochker [link][3 comments]
View ArticleDeep learning without contrastive divergence
Can somebody recommend me some recent deep learning papers without using contrastive divergence learning rule? If I understand correctly the essence of deep learning is the unsupervised pre-training of...
View ArticleWhat do you do when your biggest source of error is the people hired to...
Hey all. I'm currently working on a ML project that involves record linkage optimized by ML. When I first started the project, I knew I would need a way to rapidly evaluate the accuracy of the...
View ArticleI want to get into Machine Learning, I am coming from very little knowledge...
Okay so, as of next year I am transfering to a double degree(currently in IT), Bachelor of Mathematics & Bachelor of Information Technology (Computer Science Major, but in reality, it primarily...
View ArticleIntroduction to recurrent neural networks?
I have two questions please:1- What are the applications of recurrent neural networks?2- Can you recommend some good resources/papers that introduce recurrent neural networks? submitted by makakimekaki...
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Online Recommendations with Thompson Sampling
submitted by sergeyfeldman [link][comment]
View ArticleBizarre auditory RBM Results using Pylearn2
Dear /r/MachineLearningI was hoping you guys could help me interpret some strange results I'm getting.I am using Pylearn2 to do the training and my model is based off the dbm demo they have.I use...
View ArticleA Simple Idea (cross-post from /r/artificial)
Hello,I am a hobby AI researcher (so feel free to question the validity of all this), and I am designing a system which can adapt to be any type of neural network. It's a blank slate, the dynamics of...
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Sparse random projections and SVM using Python
submitted by hernamesbarbara [link][comment]
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