model = Sequential()

model.add(Conv2D(16, (3,3), input_shape=(50, 50, 3), activation="relu"))
model.add(MaxPool2D(2,2))

model.add(Conv2D(32, (3,3), activation="relu"))
model.add(MaxPool2D(2,2))

model.add(Conv2D(16, (3,3), activation="relu"))
model.add(MaxPool2D(2,2))

model.add(Flatten())
model.add(Dense(32, activation="relu"))

model.add(Dense(1, activation="sigmoid"))