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Tag Archives: deep learning

Continuous Integration for testing Metal GPGPU shaders for iOS with Swig, Numpy and Python

Apple Inc’s Metal is an alternative to OpenGL for graphics processing on iPhone and iPad, but it also supports general purpose data-parallel programming for GPUs (i.e. GPGPU programming) it is an alternative to OpenCL and Nvidia’s Cuda. The Metal shading language is based on the C++11 Specification [PDF] with specific extensions and restrictions, but one challenge with Metal is …Read More

Deeplearning.University – Bibliographies from Lisa Labs (Yoshua Bengio’s lab)

Today I’m honored to publish two high quality Deep Learning related bibliographies (in Bibtex) from Lisa Labs at University of Montreal in Canada. These bibliographies will improve Deeplearning.University a lot wrt quality and coverage (in the next update), but here they are in unaltered form available at github: 1. Bibtex for papers published by Lisa Labs (624 bibtex …Read More

Update with 29 new publications to Deeplearning.University Bibliography

I’ve gone from infrequent (monthly’ish) to the Deeplearning.University Bibliography to more frequent updates (1-2 times per week). Underneath are 29 new deep learning papers since last update (8 days prior to this). There are many highly interesting papers, and I would in particular like to point out: Transferring Knowledge from a Rnn to a Dnn Tree-based Convolution: …Read More

Update with 13 new papers to Deeplearning.University

Links to Deep Learning Subtopics [acoustic][acoustic model][cognition][embedded][feature][linear model][linear models][overview][regression][review][search][social][speech][speech recognition][survey][theory][visual] Acoustic Deep Learning for Acoustic Modeling in Parametric Speech Generation: A systematic review of existing techniques and future trends   Acoustic Model Deep Learning for Acoustic Modeling in Parametric Speech Generation: A systematic review of existing techniques and future trends   Cognition Deep learning approaches …Read More

Update with 57 papers to Deeplearning.University Bibliography

This update to Deeplearning.University has 57 new Deep Learning papers (all from 2015) collected in the period since last update (March 29th, 2015) and until today.  See the 57 new papers below. As always if you want have suggestions to the bibliography (in particular: improved Bibtex-entries or additions), please do that as git pull-requests on the file:https://github.com/memkite/DeepLearningBibliography/blob/master/bibtex/deeplearninggpuwithkeywords2014.bib …Read More

Update with 362 new publications to Deeplearning.University Bibliography

This update to Deeplearning.University has 362 new Deep Learning papers (all from 2015) collected in the period since last update (January 27th, 2015) and until today.  See the 362 new papers below, and deeplearning.university for the entire updated bibliography (it has more than 1000 papers now, 1324 to be accurate). As always if you want …Read More

Deep Learning for Speech Recognition

This blog post gives a brief overview of recent Deep Learning for Speech Recognition (NLP) publications sampled from the Speech Recognition category published on http://deeplearning.university – See also previous posting on Deep Learning for Natural Language Processing (NLP). Best regards, Amund Tveit Acoustic Modeling Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition Deep …Read More

Deep Learning for Natural Language Processing

This blog post gives a brief overview of recent deep learning for Natural Language Processing (NLP) publications sampled from the NLP category published on http://deeplearning.university (see also follow-up blog post on Deep Learning for Speech Recognition) (disclaimer: this was quickly put together for a local workshop, but hopefully useful) Best regards, Amund Tveit Sentiment Analysis Adaptive multi-compositionality for …Read More

Update with 408 recent papers to Deeplearning.University

It has been a while (November 2014) since our last update to the deeplearning bibliography at http://deeplearning.university – but underneath is an update with 408 recent papers (late 2014/early 2015). (This update combined with existing papers will be published to deeplearning.university shortly) Best regards, Amund Tveit (twitter.com/atveit – amund@memkite.com) Links to Deep Learning Subtopics [3d] …Read More

Data-Parallel Programming with Metal and Swift for iPhone/iPad GPU

Apple describes Metal as: “Metal provides the lowest-overhead access to the GPU, enabling you to maximize the graphics and compute potential of your iOS 8 app. With a streamlined API, precompiled shaders, and support for efficient multi-threading, Metal can take your game or graphics app to the next level of performance and capability.” – source: …Read More

Added 152 new Deep Learning Publications to the Bibliography

Added 152 new Deep Learning papers to the Deeplearning.University Bibliography, if you want to see them separate from the previous papers in the bibliography the new ones are listed below. There are many very interesting papers, e.g. in the medicine (e.g. deep learning for cancer-related analysis such as mammogram and pancreas cancer, and heart diseases), …Read More