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DeepSpeech: Scaling up end-to-end speech recognition
Research at Baidu for a best of its class spectrum-to-text RNN speech recognition highlighted also here.EDIT actual link. EDIT2 allegedly better results reported by ibm watson group, see comments....
View ArticleBill Gates briefly discusses machine learning with David Letterman in 1995
The entire interview is interesting from a historical perspective but I found Bill Gates' brief thought about machine learning to be the most interesting. The ML part of the interview is all of 15...
View ArticleHow would you approach this problem?
Hey all,Let's say I'm faced with this problem: A user has to choose among 10 options. Each option draws from a 5D random variable, let's say X = [is_black, is_sedan, is_cheap, is_fast, is_efficient]...
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Any existing work on supervised learning of features from audio waveform input?
submitted by animus144 [link][comment]
View Articleconvolution without summation?
Hi, I'm new to deep learning. Here's the question about Convolutional Net: So a mn feature map can be mapped to a (m-k+1)(n-k+1) feature map by a kk filter. But I don't think it's a (complete)...
View ArticleWhen will unsupervised learning be as good as supervised learning?
Andrew Ng has said many times that the holy grail of deep learning is unsupervised learning, i.e., the use of unlabeled training data. Why has there been no real progress in unsupervised learning?...
View ArticleSVM w/ RBF in OpenCL?
I saw that libsvm offers a CUDA implementation. Is there anything similar for OpenCL? submitted by georgeo [link][2 comments]
View Article[Academic Research] Machine learning in computer security
Hello guys,I am looking for academic research papers about the usage of machine learning in the computer security. At the moment I haven`t found much about this topic on google scholar and dblp. Most...
View ArticleLearning about Machine Learning
Before I start, I want to say I've looked around at /r/MLQuestions and /r/mlclass, but neither really have what I'm looking for.I'm a PhD in math (geometric group theory) who recently left academia to...
View Articlefastest way to get off the ground with convnets
I've been building a neural network library as a learning tool for myself (so I'm not expecting to beat state-of-the-art systems but still want reasonable performance). I've gotten quite far with...
View ArticleReceived interesting but limited data-set, where to begin with probabilistic...
Hello /r/machinelearning,I play in an recreational/upper skill level basketball league in Portland. The people that run the league track games by recording the final score (as well as what...
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[Academic Research] Domain Transfer of knowledge in ML
I'm looking at research topics for ML, and this seems to be something that regularly comes up. One paper I found is this, where it uses a phenomenon called Rule Transfer to speed up domain transfer of...
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Andrew Ng and Baidu Announces Breakthrough In Speech Recognition
submitted by TangerineX [link][19 comments]
View ArticleCommunication-Efficient Distributed Dual Coordinate Ascent
submitted by jellchou [link][comment]
View ArticleHands on tutorial for creating new classifier with Caffe?
I checked the fine tuning tutorial on Caffe's site, but I'm still confused. Lets say you have a data set of dogs and cats, and want to use one of the prebuilt networks like AlexNet with Caffe. How does...
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Data Elixir, Issue 14: AI developments, interviews, data creeps, "best of...
submitted by lonriesberg [link][comment]
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