Post date: Jan 13, 2016 10:56:48 AM
This and next week (13-20.1.2016) during labs sessions I will offer Theano tutorials. We will follow my materials prepared for the "Matlab, R, Python" course: https://sites.google.com/a/cs.uni.wroc.pl/jch/teaching/teaching/marpy/materialyzwykladow14i15/wyklad14.ipynb
I attach my .theano configuration file. Please copy it to your home directory. In principle on all computers in lab110 you chould be able to execute code with both cpu and gpu. You control the execution device by setting the THEANO_FLAGS=device=cpu or THEANO_FLAGS=device=gpu environment variable.
Please come. For more materials, please see:
Tutorials by alec Radford https://github.com/Newmu/Theano-Tutorials
Deep learning tutorials http://deeplearning.net/tutorial/
Theano tutorials http://deeplearning.net/software/theano/tutorial/
My notebook from the Matlab, R, and Python class:http://nbviewer.ipython.org/urls/sites.google.com/a/cs.uni.wroc.pl/jch/teaching/teaching/marpy/materialyzwykladow14i15/wyklad14.ipynb
There are many neural network libraries built on top of Theano:
a lightweight one, nice for learning this course https://github.com/Lasagne/Lasagne
a more heavy-weight one, for research https://github.com/mila-udem/blocks