model cat vs dogs

model = Sequential() 
model.add(Conv2D(64, (3, 3), input_shape=(200, 200, 1))) 
model.add(Activation('relu')) 
model.add(MaxPooling2D(pool_size=(2, 2))) 
  
model.add(Conv2D(32, (3, 3))) 
model.add(Activation('relu')) 
model.add(MaxPooling2D(pool_size=(2, 2))) 
  
model.add(Conv2D(16, (3, 3))) 
model.add(Activation('relu')) 
model.add(MaxPooling2D(pool_size=(2, 2))) 
  
model.add(Flatten()) 
model.add(Dense(50)) 
model.add(Activation('relu')) 
model.add(Dropout(0.5)) 
model.add(Dense(1)) 
model.add(Activation('sigmoid')) 

model.compile(loss='binary_crossentropy', 
              optimizer='adam', 
              metrics=['accuracy'])