Posted by
cs702 on Tuesday August 30, 2016 @12:54PM
from the you-decide dept.
Say you are about to build a new product or service that uses or requires deep learning.
Which deep learning framework would you use?
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If you vote on a framework, please also don't forget to upvote the poll itself, so we can keep it visible to others and collect more votes. Thank you!
(
12 comments
| 103 points
|
on HN
)
Poll
Caffe: https://github.com/BVLC/caffe
13 votes
CNTK: https://github.com/Microsoft/CNTK
7 votes
DL4J: https://github.com/deeplearning4j/deeplearning4j
11 votes
DSSTNE: https://github.com/amznlabs/amazon-dsstne
3 votes
H2O: https://github.com/h2oai/h2o-3/tree/master/h2o-algos/src/main/java/hex/deeplearning
2 votes
Marvin: https://github.com/PrincetonVision/marvin
1 vote
MXNet: https://github.com/dmlc/mxnet
5 votes
Neon: https://github.com/NervanaSystems/neon
3 votes
Paddle: https://github.com/baidu/paddle
4 votes
TensorFlow (including SkFlow): https://github.com/tensorflow/tensorflow / https://github.com/tensorflow/skflow
81 votes
Theano: https://github.com/Theano/Theano
20 votes
Torch: https://github.com/torch/torch7
17 votes
Veles: https://github.com/samsung/veles
1 vote
Other
4 votes
Keras (uses Theano or TensorFlow as backend): https://github.com/fchollet/keras
36 votes
Dali: https://github.com/dali-ml/Dali
1 vote
Lasagne (on top of Theano): https://github.com/Lasagne/Lasagne
2 votes
Blocks (on top of Theano): https://github.com/mila-udem/blocks
1 vote
Chainer: http://chainer.org/
2 votes
TensorFlow dominates, followed by Keras (which uses Theano or TensorFlow as its backend) and then Theano.
TensorFlow and Theano (on their own or via Keras) account for two thirds of all votes.