I am planning to use DNN in my research and I just wonder where can I find a good implementation in R or Python? Something that has Recurrent Neural Network or Convolutional neural network would be even better.
Here you can find source code in python for many types of deep neural nets (convolutional neural nets, autoencoders, DBNs):
http://deeplearning.net/tutorial/contents.html
Caffe and keras are two libraries of Deep Neural Nets, you can create your own DNN telling the number and kind of neurons in every layer:
http://keras.io/
http://caffe.berkeleyvision.org/
They have interfaces to use them from python.
Thanks Roberto, IT was great and much more than I thought that I could get. Howeer, there are all in Python. How about R?
Do you know any implementation in R?
Thanks Reza,
This one is great to start with in R.
Guys, there is a nice course in Google about Deep Neural Network that you can check as well.
https://www.udacity.com/course/deep-learning--ud730
I will take a look to the udacity course.
Here you can find another course that I did some time ago, the theory is well explained but there is not source code:
https://www.coursera.org/course/neuralnets
I would say the tensor flow will probably be the reference library for deep learning in python
I would say the tensor flow will probably be the reference library for deep learning in python
Roberto Diaz: Thanks Roberto, I just started this course.
Luca Puggini: Thanks Luca, I will take a look at it.
Thank you guys for your fruitful information.
This is great, thanks Oguz,
I also found this course by Google which is amazing. Take a look at it:
https://www.udacity.com/course/deep-learning--ud730
Hi,
You could take a look at deep learning with theano here:
http://deeplearning.net/tutorial/
https://github.com/Theano/Theano
Thanks Raida,
I will check them for sure. It is greattttttttttt .
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