資料收集:深度學習框架比較

博客地址:http://blog.csdn.NET/wangxinginnlp/article/details/58670706


1. https://en.wikipedia.org/wiki/Comparison_of_deep_learning_software


2. https://deeplearning4j.org/compare-dl4j-torch7-pylearn


3. https://www.microway.com/hpc-tech-tips/deep-learning-frameworks-survey-tensorflow-torch-theano-caffe-neon-ibm-machine-learning-stack/


4. http://blog.revolutionanalytics.com/2016/08/deep-learning-part-1.html


5. http://www.svds.com/getting-started-deep-learning/


竟然還有幾篇文章:

101. Benchmarking State-of-the-Art Deep Learning Software Tools

https://arxiv.org/pdf/1608.07249.pdf


102. Deep Learning with Theano, Torch, Caffe, TensorFlow, andDeeplearning4J: Which One Is the Best in Speed and Accuracy?

https://www.researchgate.net/profile/Vassili_Kovalev/publication/302955130_Deep_Learning_with_Theano_Torch_Caffe_TensorFlow_and_Deeplearning4J_Which_One_Is_the_Best_in_Speed_and_Accuracy/links/573430e708ae9f741b261faa.pdf


103. Comparative Study of Deep Learning SoftwareFrameworks

https://arxiv.org/pdf/1511.06435.pdf


AAAI 2017的Tutorial

Deep Learning Implementations and Frameworks (DLIF)

https://sites.google.com/site/dliftutorial/

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