Is there any good alternative for Keras library?What are the pros and cons of Keras and TFLearn?“Recursive ConvNets for Dummies” LibraryFormat for X_train in keras using theanoUsing TensorFlow with Intel GPUMOOC or book on Deep Learning in Python for someone with a basic knowledge of neural networksKeras or TensorFlow Examples for Working with Large Text Datasets (~10M Sentences)correct value of output_dim or units parameter of denseHow to import image data into python for keras?LSTM for time series forecasting with H20.aiBenefits of using Deep Learning-specific hyperparameter optimization tools vs. sklearn?Is GEMM used in Tensorflow, Theano, Pytorch
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Is there any good alternative for Keras library?
What are the pros and cons of Keras and TFLearn?“Recursive ConvNets for Dummies” LibraryFormat for X_train in keras using theanoUsing TensorFlow with Intel GPUMOOC or book on Deep Learning in Python for someone with a basic knowledge of neural networksKeras or TensorFlow Examples for Working with Large Text Datasets (~10M Sentences)correct value of output_dim or units parameter of denseHow to import image data into python for keras?LSTM for time series forecasting with H20.aiBenefits of using Deep Learning-specific hyperparameter optimization tools vs. sklearn?Is GEMM used in Tensorflow, Theano, Pytorch
$begingroup$
I am currently using keras as a deep learning library on top of tensorflow. I just want to know is there any other library which is more efficient/easier than keras.
deep-learning keras
asked Nov 11 '17 at 22:15
Chinmay KulkarniChinmay Kulkarni
143
$endgroup$
|
show 2 more comments
$begingroup$
I am currently using keras as a deep learning library on top of tensorflow. I just want to know is there any other library which is more efficient/easier than keras.
deep-learning keras
asked Nov 11 '17 at 22:15
Chinmay KulkarniChinmay Kulkarni
143
$endgroup$
2
$begingroup$
I believe Keras's interface is most intuitive among all of the library (my personal opinion). You may want to look at pytorch if it meets your nees.
$endgroup$
– apsdehal
Nov 12 '17 at 0:50
2
$begingroup$
When you say efficient / easier, it would be better if you could elaborate on what you are actually looking for.
$endgroup$
– Nischal Hp
Nov 12 '17 at 2:37
$begingroup$
@apsdehal Thank you for your suggestion. I will definitely take a look at pytorch.
$endgroup$
– Chinmay Kulkarni
Nov 12 '17 at 4:43
$begingroup$
@NischalHp I just want to know the alternative. It would be great if you could suggest me any library for implementing neural networks(specifically deep feedforward nets) other than keras.
$endgroup$
– Chinmay Kulkarni
Nov 12 '17 at 4:48
$begingroup$
There are good uses of Lasagne (it works on top of Theano)
$endgroup$
– David Dale
Nov 12 '17 at 9:46
|
show 2 more comments
$begingroup$
I am currently using keras as a deep learning library on top of tensorflow. I just want to know is there any other library which is more efficient/easier than keras.
deep-learning keras
asked Nov 11 '17 at 22:15
Chinmay KulkarniChinmay Kulkarni
143
$endgroup$
I am currently using keras as a deep learning library on top of tensorflow. I just want to know is there any other library which is more efficient/easier than keras.
deep-learning keras
deep-learning keras
asked Nov 11 '17 at 22:15
Chinmay KulkarniChinmay Kulkarni
143
asked Nov 11 '17 at 22:15
Chinmay KulkarniChinmay Kulkarni
143
asked Nov 11 '17 at 22:15
Chinmay KulkarniChinmay Kulkarni
143
asked Nov 11 '17 at 22:15
Chinmay KulkarniChinmay Kulkarni
143
asked Nov 11 '17 at 22:15
Chinmay KulkarniChinmay Kulkarni
143
143
2
$begingroup$
I believe Keras's interface is most intuitive among all of the library (my personal opinion). You may want to look at pytorch if it meets your nees.
$endgroup$
– apsdehal
Nov 12 '17 at 0:50
2
$begingroup$
When you say efficient / easier, it would be better if you could elaborate on what you are actually looking for.
$endgroup$
– Nischal Hp
Nov 12 '17 at 2:37
$begingroup$
@apsdehal Thank you for your suggestion. I will definitely take a look at pytorch.
$endgroup$
– Chinmay Kulkarni
Nov 12 '17 at 4:43
$begingroup$
@NischalHp I just want to know the alternative. It would be great if you could suggest me any library for implementing neural networks(specifically deep feedforward nets) other than keras.
$endgroup$
– Chinmay Kulkarni
Nov 12 '17 at 4:48
$begingroup$
There are good uses of Lasagne (it works on top of Theano)
$endgroup$
– David Dale
Nov 12 '17 at 9:46
|
show 2 more comments
2
$begingroup$
I believe Keras's interface is most intuitive among all of the library (my personal opinion). You may want to look at pytorch if it meets your nees.
$endgroup$
– apsdehal
Nov 12 '17 at 0:50
2
$begingroup$
When you say efficient / easier, it would be better if you could elaborate on what you are actually looking for.
$endgroup$
– Nischal Hp
Nov 12 '17 at 2:37
$begingroup$
@apsdehal Thank you for your suggestion. I will definitely take a look at pytorch.
$endgroup$
– Chinmay Kulkarni
Nov 12 '17 at 4:43
$begingroup$
@NischalHp I just want to know the alternative. It would be great if you could suggest me any library for implementing neural networks(specifically deep feedforward nets) other than keras.
$endgroup$
– Chinmay Kulkarni
Nov 12 '17 at 4:48
$begingroup$
There are good uses of Lasagne (it works on top of Theano)
$endgroup$
– David Dale
Nov 12 '17 at 9:46
2
2
$begingroup$
I believe Keras's interface is most intuitive among all of the library (my personal opinion). You may want to look at pytorch if it meets your nees.
$endgroup$
– apsdehal
Nov 12 '17 at 0:50
$begingroup$
I believe Keras's interface is most intuitive among all of the library (my personal opinion). You may want to look at pytorch if it meets your nees.
$endgroup$
– apsdehal
Nov 12 '17 at 0:50
2
2
$begingroup$
When you say efficient / easier, it would be better if you could elaborate on what you are actually looking for.
$endgroup$
– Nischal Hp
Nov 12 '17 at 2:37
$begingroup$
When you say efficient / easier, it would be better if you could elaborate on what you are actually looking for.
$endgroup$
– Nischal Hp
Nov 12 '17 at 2:37
$begingroup$
@apsdehal Thank you for your suggestion. I will definitely take a look at pytorch.
$endgroup$
– Chinmay Kulkarni
Nov 12 '17 at 4:43
$begingroup$
@apsdehal Thank you for your suggestion. I will definitely take a look at pytorch.
$endgroup$
– Chinmay Kulkarni
Nov 12 '17 at 4:43
$begingroup$
@NischalHp I just want to know the alternative. It would be great if you could suggest me any library for implementing neural networks(specifically deep feedforward nets) other than keras.
$endgroup$
– Chinmay Kulkarni
Nov 12 '17 at 4:48
$begingroup$
@NischalHp I just want to know the alternative. It would be great if you could suggest me any library for implementing neural networks(specifically deep feedforward nets) other than keras.
$endgroup$
– Chinmay Kulkarni
Nov 12 '17 at 4:48
$begingroup$
There are good uses of Lasagne (it works on top of Theano)
$endgroup$
– David Dale
Nov 12 '17 at 9:46
$begingroup$
There are good uses of Lasagne (it works on top of Theano)
$endgroup$
– David Dale
Nov 12 '17 at 9:46
|
show 2 more comments
3 Answers
3
active
oldest
votes
$begingroup$
I can't say which is more efficient or easier but MXNet exists, has interfaces to most languages (python, scala, R, C++, perl, Julia), and the code looks fairly similar to keras.
https://mxnet.incubator.apache.org/
Another one that I've come across is caffe, mostly because people seem to share a lot of pre-trained nets in their model zoo.
http://caffe.berkeleyvision.org/
Update: I didn't see caffe 2 but I think this is quite separate to the original caffe.
Finally I've not fully had time to check out H2O's offering in deep water which is an alternative to Keras but still sits on top of TF/MXNet/Caffe
answered Apr 9 '18 at 12:06
dougmetdougmet
1314
$endgroup$
add a comment |
$begingroup$
I reccomend pytorch. You can find good tutorials here.
edited Apr 9 '18 at 13:46
Stephen Rauch
1,52551229
answered Apr 9 '18 at 13:28
Federico CacciaFederico Caccia
39014
$endgroup$
$begingroup$
Why do you recommend PyTorch?
$endgroup$
– nbro
Jul 10 '18 at 20:58
add a comment |
$begingroup$
Keras is a high-level API that can be used on top of TensorFlow, CNTK and Theano. You can use each of the low-level APIs but the problem of those is that you can get complicated if you design very deep nets whilst dealing with Keras is much easier. Consequently, Keras is designed for accelerating deep nets' designing. Keras is opensource like the underlying libraries it comes for and I guess its project is not for Google. TensorFlow itself has a high-level API, namely TFLearn. I cannot say which is better but the point is that try to master one of them perfectly.
It seems that plaidML Keras backend is also available which enables training on AMD graphics.
answered Apr 9 '18 at 14:38
MediaMedia
7,36562161
$endgroup$
1
$begingroup$
Nowadays there is also the plaidML keras backend which allows training with amd cards.
$endgroup$
– SleepProgger
2 days ago
add a comment |
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
I can't say which is more efficient or easier but MXNet exists, has interfaces to most languages (python, scala, R, C++, perl, Julia), and the code looks fairly similar to keras.
https://mxnet.incubator.apache.org/
Another one that I've come across is caffe, mostly because people seem to share a lot of pre-trained nets in their model zoo.
http://caffe.berkeleyvision.org/
Update: I didn't see caffe 2 but I think this is quite separate to the original caffe.
Finally I've not fully had time to check out H2O's offering in deep water which is an alternative to Keras but still sits on top of TF/MXNet/Caffe
answered Apr 9 '18 at 12:06
dougmetdougmet
1314
$endgroup$
add a comment |
$begingroup$
I can't say which is more efficient or easier but MXNet exists, has interfaces to most languages (python, scala, R, C++, perl, Julia), and the code looks fairly similar to keras.
https://mxnet.incubator.apache.org/
Another one that I've come across is caffe, mostly because people seem to share a lot of pre-trained nets in their model zoo.
http://caffe.berkeleyvision.org/
Update: I didn't see caffe 2 but I think this is quite separate to the original caffe.
Finally I've not fully had time to check out H2O's offering in deep water which is an alternative to Keras but still sits on top of TF/MXNet/Caffe
answered Apr 9 '18 at 12:06
dougmetdougmet
1314
$endgroup$
add a comment |
$begingroup$
I can't say which is more efficient or easier but MXNet exists, has interfaces to most languages (python, scala, R, C++, perl, Julia), and the code looks fairly similar to keras.
https://mxnet.incubator.apache.org/
Another one that I've come across is caffe, mostly because people seem to share a lot of pre-trained nets in their model zoo.
http://caffe.berkeleyvision.org/
Update: I didn't see caffe 2 but I think this is quite separate to the original caffe.
Finally I've not fully had time to check out H2O's offering in deep water which is an alternative to Keras but still sits on top of TF/MXNet/Caffe
answered Apr 9 '18 at 12:06
dougmetdougmet
1314
$endgroup$
I can't say which is more efficient or easier but MXNet exists, has interfaces to most languages (python, scala, R, C++, perl, Julia), and the code looks fairly similar to keras.
https://mxnet.incubator.apache.org/
Another one that I've come across is caffe, mostly because people seem to share a lot of pre-trained nets in their model zoo.
http://caffe.berkeleyvision.org/
Update: I didn't see caffe 2 but I think this is quite separate to the original caffe.
Finally I've not fully had time to check out H2O's offering in deep water which is an alternative to Keras but still sits on top of TF/MXNet/Caffe
answered Apr 9 '18 at 12:06
dougmetdougmet
1314
edited Apr 9 '18 at 12:58
answered Apr 9 '18 at 12:06
dougmetdougmet
1314
answered Apr 9 '18 at 12:06
dougmetdougmet
1314
answered Apr 9 '18 at 12:06
dougmetdougmet
1314
1314
add a comment |
add a comment |
$begingroup$
I reccomend pytorch. You can find good tutorials here.
edited Apr 9 '18 at 13:46
Stephen Rauch
1,52551229
answered Apr 9 '18 at 13:28
Federico CacciaFederico Caccia
39014
$endgroup$
$begingroup$
Why do you recommend PyTorch?
$endgroup$
– nbro
Jul 10 '18 at 20:58
add a comment |
$begingroup$
I reccomend pytorch. You can find good tutorials here.
edited Apr 9 '18 at 13:46
Stephen Rauch
1,52551229
answered Apr 9 '18 at 13:28
Federico CacciaFederico Caccia
39014
$endgroup$
$begingroup$
Why do you recommend PyTorch?
$endgroup$
– nbro
Jul 10 '18 at 20:58
add a comment |
$begingroup$
I reccomend pytorch. You can find good tutorials here.
edited Apr 9 '18 at 13:46
Stephen Rauch
1,52551229
answered Apr 9 '18 at 13:28
Federico CacciaFederico Caccia
39014
$endgroup$
I reccomend pytorch. You can find good tutorials here.
edited Apr 9 '18 at 13:46
Stephen Rauch
1,52551229
answered Apr 9 '18 at 13:28
Federico CacciaFederico Caccia
39014
edited Apr 9 '18 at 13:46
Stephen Rauch
1,52551229
edited Apr 9 '18 at 13:46
Stephen Rauch
1,52551229
edited Apr 9 '18 at 13:46
Stephen Rauch
1,52551229
1,52551229
answered Apr 9 '18 at 13:28
Federico CacciaFederico Caccia
39014
answered Apr 9 '18 at 13:28
Federico CacciaFederico Caccia
39014
answered Apr 9 '18 at 13:28
Federico CacciaFederico Caccia
39014
39014
$begingroup$
Why do you recommend PyTorch?
$endgroup$
– nbro
Jul 10 '18 at 20:58
add a comment |
$begingroup$
Why do you recommend PyTorch?
$endgroup$
– nbro
Jul 10 '18 at 20:58
$begingroup$
Why do you recommend PyTorch?
$endgroup$
– nbro
Jul 10 '18 at 20:58
$begingroup$
Why do you recommend PyTorch?
$endgroup$
– nbro
Jul 10 '18 at 20:58
add a comment |
$begingroup$
Keras is a high-level API that can be used on top of TensorFlow, CNTK and Theano. You can use each of the low-level APIs but the problem of those is that you can get complicated if you design very deep nets whilst dealing with Keras is much easier. Consequently, Keras is designed for accelerating deep nets' designing. Keras is opensource like the underlying libraries it comes for and I guess its project is not for Google. TensorFlow itself has a high-level API, namely TFLearn. I cannot say which is better but the point is that try to master one of them perfectly.
It seems that plaidML Keras backend is also available which enables training on AMD graphics.
answered Apr 9 '18 at 14:38
MediaMedia
7,36562161
$endgroup$
1
$begingroup$
Nowadays there is also the plaidML keras backend which allows training with amd cards.
$endgroup$
– SleepProgger
2 days ago
add a comment |
$begingroup$
Keras is a high-level API that can be used on top of TensorFlow, CNTK and Theano. You can use each of the low-level APIs but the problem of those is that you can get complicated if you design very deep nets whilst dealing with Keras is much easier. Consequently, Keras is designed for accelerating deep nets' designing. Keras is opensource like the underlying libraries it comes for and I guess its project is not for Google. TensorFlow itself has a high-level API, namely TFLearn. I cannot say which is better but the point is that try to master one of them perfectly.
It seems that plaidML Keras backend is also available which enables training on AMD graphics.
answered Apr 9 '18 at 14:38
MediaMedia
7,36562161
$endgroup$
1
$begingroup$
Nowadays there is also the plaidML keras backend which allows training with amd cards.
$endgroup$
– SleepProgger
2 days ago
add a comment |
$begingroup$
Keras is a high-level API that can be used on top of TensorFlow, CNTK and Theano. You can use each of the low-level APIs but the problem of those is that you can get complicated if you design very deep nets whilst dealing with Keras is much easier. Consequently, Keras is designed for accelerating deep nets' designing. Keras is opensource like the underlying libraries it comes for and I guess its project is not for Google. TensorFlow itself has a high-level API, namely TFLearn. I cannot say which is better but the point is that try to master one of them perfectly.
It seems that plaidML Keras backend is also available which enables training on AMD graphics.
answered Apr 9 '18 at 14:38
MediaMedia
7,36562161
$endgroup$
Keras is a high-level API that can be used on top of TensorFlow, CNTK and Theano. You can use each of the low-level APIs but the problem of those is that you can get complicated if you design very deep nets whilst dealing with Keras is much easier. Consequently, Keras is designed for accelerating deep nets' designing. Keras is opensource like the underlying libraries it comes for and I guess its project is not for Google. TensorFlow itself has a high-level API, namely TFLearn. I cannot say which is better but the point is that try to master one of them perfectly.
It seems that plaidML Keras backend is also available which enables training on AMD graphics.
answered Apr 9 '18 at 14:38
MediaMedia
7,36562161
edited 2 days ago
answered Apr 9 '18 at 14:38
MediaMedia
7,36562161
answered Apr 9 '18 at 14:38
MediaMedia
7,36562161
answered Apr 9 '18 at 14:38
MediaMedia
7,36562161
7,36562161
1
$begingroup$
Nowadays there is also the plaidML keras backend which allows training with amd cards.
$endgroup$
– SleepProgger
2 days ago
add a comment |
1
$begingroup$
Nowadays there is also the plaidML keras backend which allows training with amd cards.
$endgroup$
– SleepProgger
2 days ago
1
1
$begingroup$
Nowadays there is also the plaidML keras backend which allows training with amd cards.
$endgroup$
– SleepProgger
2 days ago
$begingroup$
Nowadays there is also the plaidML keras backend which allows training with amd cards.
$endgroup$
– SleepProgger
2 days ago
add a comment |
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2
$begingroup$
I believe Keras's interface is most intuitive among all of the library (my personal opinion). You may want to look at pytorch if it meets your nees.
$endgroup$
– apsdehal
Nov 12 '17 at 0:50
2
$begingroup$
When you say efficient / easier, it would be better if you could elaborate on what you are actually looking for.
$endgroup$
– Nischal Hp
Nov 12 '17 at 2:37
$begingroup$
@apsdehal Thank you for your suggestion. I will definitely take a look at pytorch.
$endgroup$
– Chinmay Kulkarni
Nov 12 '17 at 4:43
$begingroup$
@NischalHp I just want to know the alternative. It would be great if you could suggest me any library for implementing neural networks(specifically deep feedforward nets) other than keras.
$endgroup$
– Chinmay Kulkarni
Nov 12 '17 at 4:48
$begingroup$
There are good uses of Lasagne (it works on top of Theano)
$endgroup$
– David Dale
Nov 12 '17 at 9:46