gistfile1.txt

K.clear_session()
model = Sequential()
model.add(layers.Conv2D(32,(3,3),padding='same',input_shape=(256,256,3),activation='relu'))
model.add(layers.Conv2D(32,(3,3),activation='relu'))


model.add(layers.MaxPool2D(pool_size=(8,8)))

model.add(layers.Conv2D(32,(3,3),padding='same',activation='relu'))
model.add(layers.Conv2D(32,(3,3),activation='relu'))

model.add(layers.MaxPool2D(pool_size=(8,8)))

model.add(Activation('relu'))

model.add(Flatten())
model.add(layers.Dense(256,activation='relu'))
model.add(layers.Dense(4,activation='softmax'))

model.compile(loss = 'categorical_crossentropy',optimizer = 'rmsprop',metrics = ['accuracy'])

model.summary()