isaacgerg

import keras
from keras import backend as K
import keras.models
#---------------------------------------------------------------------------------------------------
model = keras.models.Sequential()
model.add(keras.layers.Convolution2D(8, 5, 5,  W_constraint = keras.constraints.maxnorm(), input_shape=(1, 100, 100)))
# Commenting out the next line reemoves the MissingInputError
model.add(keras.layers.Dropout(0.25))
model.add(keras.layers.Flatten())
model.add(keras.layers.Dense(2))