Akshay Chalana Ac2zoom

## MWL_5-11-16.py
'''
Train a simple deep CNN on the CIFAR10 small images dataset.

GPU run command:
    THEANO_FLAGS=mode=FAST_RUN,device=gpu,floatX=float32 python cifar10_cnn.py

It gets down to 0.65 test logloss in 25 epochs, and down to 0.55 after 50 epochs.
(it's still underfitting at that point, though).

Note: the data was pickled with Python 2, and some encoding issues might prevent you
	'''
	Train a simple deep CNN on the CIFAR10 small images dataset.

	GPU run command:
	THEANO_FLAGS=mode=FAST_RUN,device=gpu,floatX=float32 python cifar10_cnn.py

	It gets down to 0.65 test logloss in 25 epochs, and down to 0.55 after 50 epochs.
	(it's still underfitting at that point, though).

	Note: the data was pickled with Python 2, and some encoding issues might prevent you