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GPGPU Performance of Swift/Metal vs Accelerate on iPhone 6 & 5S, iPad Air and iPad Mini 1. Background In a prior posting I presented how to use Swift combined with Metal for General Purpose GPU based processing, this posting presents related benchmarks – compared to using the Accelerate Framework – on iPhone 5S, iPhone 6, iPad Air and iPad Mini. All Swift/Metal and Accelerate code and benchmarks c
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 (disclaimer: this was quickly put together for a local workshop, but hopefully useful) Best regards, Amund Tveit Sentiment Analysis Adaptive multi-compositionality for recursive neural models with applications to
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
List of 75 Most Popular Deep Learning Papers in the Bibliography A month ago we published a blog post showing the 20 most popular Deep Learning papers in the bibliography, this time we’re showing the 75 most popular Deep Learning papers in the list below. Note that this blog post (and the other blog posts) and the deep learning bibliography itself is available on github: github.com/memkite/DeepL
Update with 162 new papers to Deeplearning.University Bibliography Added 162 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 highly interesting papers, a few examples are: Deep neural network based load forecast – forecasts of electricity prediction The
DeepLearning.University – An Annotated Deep Learning Bibliography by: Amund Tveit*, Torbjørn Morland and Thomas Brox Røst memkite.com – Deeplearning.Education *Email: amund@memkite.com – @atveit Abstract DeepLearning.University is an annotated bibliography of recent publications (2014-) related to Deep Learning. If you have suggestions to improvements of this bibliography please send us an email o
DeepLearningKit – github.com/DeepLearningKit DeepLearningKit – GPU Accelerated Deep Learning (AI) for iOS DeepLearningKit is an Open Source Deep Learning framework for iOS that can be used to support Artificial Intelligence (AI) in apps. An example use case is image recognition (e.g. object detection in photos / camera input). Features Use Convolutional Neural Networks (CNN) for Image Recognition
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