AxOpus

## example_cnn_model.py
def cnn_model(features, labels, mode, params):
    '''
    CNN model architecture for use with TensorFlow estimator

    Architecture:
        256x256x3 input -> [conv -> max pool] x5 -> fully_connected -> softmax

    Inputs:
        features -- the input images, shape: [N x 256 x 256 x 3]
        labels -- raw class integers, shape: [N, ]
	def cnn_model(features, labels, mode, params):
	'''
	CNN model architecture for use with TensorFlow estimator

	Architecture:
	256x256x3 input -> [conv -> max pool] x5 -> fully_connected -> softmax

	Inputs:
	features -- the input images, shape: [N x 256 x 256 x 3]
	labels -- raw class integers, shape: [N, ]