def export_input_image(array, file_name, mirroring=False):
# Construct image from the weight matrix
#array = self.W.get_value()
if not mirroring:
array = array.T
image = tiled_array_image(array)
image.save(file_name)
def test_truncated_mnist():
f = gzip.open(OUTPUT_FOLDER+'mnist_training_data0.pkl.gz','rb')
train_set,sums,labels = cPickle.load(f)
f.close()
# Plot filters after each training epoch
# Construct image from the weight matrix
image = tiled_array_image( train_set)
image.save('truncated_input.png')
f = gzip.open(MNIST_FILE,'rb')
train_set, valid_set, test_set = cPickle.load(f)
f.close()
