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,

It definitely will :).

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.

Check out also this course from Stanford.  

http://cs231n.stanford.edu/

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

Thanks for the suggestion.

I will definitely take a look at it.

You are most welcome Oguz

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 .

Thanks Anjith. Yes, the others already suggested that. There are several good implementation in Python but it seems that they are not that much in R.