model.add(Conv2D(filters=32, kernel_size=(4,4),input_shape=(28,28,1),activation='relu'))
model.add(MaxPool2D(pool_size=(2,2)))
model.add(Flatten())

model.add(Dense(128,activation='relu'))
model.add(Dense(10,activation='softmax'))