Table 2.
Comparison of various Deep Learning Frameworks
| Framework | Core Language | Interface provided | Link |
|---|---|---|---|
| Caffe [61] | C ++ | Python,MATLAB, C ++ | http://caffe.berkeleyvision.org/ |
| CNTK [186] | C ++ | C ++,Python,Brain Script | https://github.com/Microsoft/CNTK |
| Chainer | – | Python | http://chainer.org/ |
| DL4j | Java | Java, Python, Scala | https://deeplearning4j.org/ |
| MXNet | C ++ |
Python, R, Scala, Perl, Julia, C ++, etc. |
https://github.com/dmlc/mxnet |
| MatConvNet [158] | – | MATLAB | http://www.vlfeat.org/matconvnet/ |
| Tensor Flow [1] | C ++ | – | https://www.tensorflow.org/ |
| Theano [6, 153] | Python | Python | http://deeplearning.net/software/theano/ |
| Torch [25] | Lua | – | http://torch.ch/ |