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Deep learning with theano, torch, caffe, tensorflow, and deeplearning4J: which one is the best in speed and accuracy?
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kovalev, V. A. Kalinovsky, Alexander Kovalev, Sergej |
| Copyright Year | 2016 |
| Abstract | This paper presents results of comparative study of leading Deep Learning frameworks including Theano (with Keras wrapper), Torch, Caffe, Tensorflow, and Deeplearning4J. Detailed results of quantitative assessment of their training and predicting speed as well as resultant classification accuracy are provided. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://elib.bsu.by/bitstream/123456789/158561/1/Kovalev_Kalinovsky_Kovalev.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |