资料收集:深度学习框架比较
2017-07-17 15:53
309 查看
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/
竟然还有几篇文章:
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 href="http://lib.csdn.net/base/dotnet" target=_blank>.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/
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/
竟然还有几篇文章:
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 href="http://lib.csdn.net/base/dotnet" target=_blank>.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/
相关文章推荐
- 资料收集:深度学习框架比较
- 深度学习框架的评估与比较
- 深度学习框架的比较(MXNet, Caffe, TensorFlow, Torch, Theano)
- TensorFlow 深度学习框架(6)-- mnist 数字识别及不同模型效果比较
- caffe 框架用到的资料深度学习文章
- 深度学习框架的介绍与比较(Caffe, TensorFlow, MXNet, Torch, Theano)
- FPGA深度学习之资料收集
- 深度学习框架的介绍与比较(Caffe, TensorFlow, MXNet, Torch, Theano)
- TensorFlow 深度学习框架(6)-- mnist 数字识别及不同模型效果比较
- 深度学习十大框架比较
- TensorFlow 深度学习框架(6)-- mnist 数字识别及不同模型效果比较
- 深度学习框架比较
- 深度学习框架比较
- TensorFlow 深度学习框架(6)-- mnist 数字识别及不同模型效果比较
- TensorFlow 深度学习框架(6)-- mnist 数字识别及不同模型效果比较
- 深度学习框架比较
- 深度学习框架的评估与比较
- 深度学习框架的介绍与比较(Caffe, TensorFlow, MXNet, Torch, Theano)
- 深度学习框架的评估与比较
- 深度学习 和 tensorflow 学习资料收集