med

func

def create_model():
  model = Sequential()
  model.add(Dense(10, input_dim = num_pixels, #num_pixels: 784
                  activation = 'relu'))
  model.add(Dense(30, activation='relu'))
  model.add(Dense(10, activation='relu'))
  model.add(Dense(num_of_classes, activation='softmax'))
  model.compile(Adam(lr=0.01), #lr: learning rate
                loss='categorical_crossentropy', #loss function
               metrics=['accuracy'])
  return model