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DeepLearningKit - an GPU Optimized Deep Learning Framework for Apple's iOS, OS X and tvOS developed in Metal and Swift
May 15, 2016 Β· Declared Dead Β· π arXiv.org
Authors
Amund Tveit, TorbjΓΈrn Morland, Thomas Brox RΓΈst
arXiv ID
1605.04614
Category
cs.LG: Machine Learning
Cross-listed
cs.DC,
cs.NE
Citations
8
Venue
arXiv.org
Repository
https://github.com/deeplearningkit
Last Checked
1 month ago
Abstract
In this paper we present DeepLearningKit - an open source framework that supports using pretrained deep learning models (convolutional neural networks) for iOS, OS X and tvOS. DeepLearningKit is developed in Metal in order to utilize the GPU efficiently and Swift for integration with applications, e.g. iOS-based mobile apps on iPhone/iPad, tvOS-based apps for the big screen, or OS X desktop applications. The goal is to support using deep learning models trained with popular frameworks such as Caffe, Torch, TensorFlow, Theano, Pylearn, Deeplearning4J and Mocha. Given the massive GPU resources and time required to train Deep Learning models we suggest an App Store like model to distribute and download pretrained and reusable Deep Learning models.
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