how to solve AttributeError: module 'keras.optimizers' has no attribute 'Adam'

Question

I make a lstm model and wanna do parameter tunings by using BayesianOptimization, but when I write the code like the below code, the error about AttributeError: module 'keras.optimizers' has no attribute 'Adam' is shown up. When I wrote last time, it worked well, but this time, it is errors. Can you tell me how to solve this problem?

def build(hp):
  activation = hp.Choice('activation', ['relu', 'tanh', 'linear', 'selu', 'elu'])
  # num_rnn_layers = hp.Choice('num_rnn_layers', min_value=1, max_value=20)
  recurrent_dropout = hp.Float('recurrent_dropout', min_value=0.0, max_value=0.99)
  num_units = hp.Int('num_units', min_value=0, max_value=512)
  model = keras.models.Sequential()
  model.add(LSTM(units=num_units, activation=activation, recurrent_dropout=recurrent_dropout, input_shape=(80, 50)))
  model.add(keras.layers.Dense(1))
  model.compile(loss='mse', metrics=['mse'], optimizer=keras.optimizers.Adam(hp.Choice('learning_rate', values=[1e-2, 1e-3, 1e-4])))
  model.compile(
      optimizer= keras.optimizers.Adam(hp.Float(
            'learning_rate',
            min_value=1e-10,
            max_value=1e-2,
            sampling='LOG',
            default=1e-6
            ),
        ),
        loss=tf.losses.MeanSquaredError(),
        metrics=[tf.metrics.MeanAbsoluteError()]
        )
  # model.compile(loss='mse')
  return model

model.compile(loss='mse', metrics=['mse'], optimizer=keras.optimizers.Adam(hp.Choice('learning_rate', values=[1e-2, 1e-3, 1e-4])))
AttributeError: module 'keras.optimizers' has no attribute 'Adam'
Invalid model 2/5
WARNING:tensorflow:Layer lstm will not use cuDNN kernels since it doesn't meet the criteria. It will use a generic GPU kernel as fallback when running on GPU.
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/dist-packages/keras_tuner/engine/hypermodel.py", line 127, in build
    model = self.hypermodel.build(hp)
  File "<ipython-input-12-3f3e21babeb7>", line 9, in build
    model.compile(loss='mse', metrics=['mse'], optimizer=keras.optimizers.Adam(hp.Choice('learning_rate', values=[1e-2, 1e-3, 1e-4])))
AttributeError: module 'keras.optimizers' has no attribute 'Adam'
Invalid model 3/5
WARNING:tensorflow:Layer lstm will not use cuDNN kernels since it doesn't meet the criteria. It will use a generic GPU kernel as fallback when running on GPU.
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/dist-packages/keras_tuner/engine/hypermodel.py", line 127, in build
    model = self.hypermodel.build(hp)
  File "<ipython-input-12-3f3e21babeb7>", line 9, in build
    model.compile(loss='mse', metrics=['mse'], optimizer=keras.optimizers.Adam(hp.Choice('learning_rate', values=[1e-2, 1e-3, 1e-4])))
AttributeError: module 'keras.optimizers' has no attribute 'Adam'
Invalid model 4/5
WARNING:tensorflow:Layer lstm will not use cuDNN kernels since it doesn't meet the criteria. It will use a generic GPU kernel as fallback when running on GPU.
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/dist-packages/keras_tuner/engine/hypermodel.py", line 127, in build
    model = self.hypermodel.build(hp)
  File "<ipython-input-12-3f3e21babeb7>", line 9, in build
    model.compile(loss='mse', metrics=['mse'], optimizer=keras.optimizers.Adam(hp.Choice('learning_rate', values=[1e-2, 1e-3, 1e-4])))
AttributeError: module 'keras.optimizers' has no attribute 'Adam'

Answer 1

you should import keras from tensorflow like this,

import tensorflow as tf
from tensorflow import keras

Answer 2

I think so you need to import the module or use try except condition which will handle with your errors