How to import keras from tf keras in Tensorflow

Question

import tensorflow as tf import tensorflow   from tensorflow import keras from keras layers import Dense   I am getting the below error  from keras layers import Input  Dense Traceback  most recent call last      File   lt ipython-input-6-b5da44e251a5 gt    line 1  in  lt module gt      from keras layers import Input  Dense  ModuleNotFoundError  No module named  keras    How do I solve this   Note  I am using Tensorflow version 1 4

User · Answer

this worked for me in tensorflow  1 4 0     from tensorflow python import keras

User · Answer

I have a similar problem importing those libs  I am using Anaconda Navigator 1 8 2 with Spyder 3 2 8   My code is the following   import matplotlib pyplot as plt import tensorflow as tf import numpy as np import math   from tf keras models import Sequential    This does not work  from tensorflow python keras models import Sequential from tensorflow python keras layers import InputLayer  Input from tensorflow python keras layers import Reshape  MaxPooling2D from tensorflow python keras layers import Conv2D  Dense  Flatten   I get the following error   from tensorflow python keras models import Sequential  ModuleNotFoundError  No module named  tensorflow python keras    I solve this erasing tensorflow python  With this code I solve the error   import matplotlib pyplot as plt import tensorflow as tf import numpy as np import math   from tf keras models import Sequential    This does not work  from keras models import Sequential from keras layers import InputLayer  Input from keras layers import Reshape  MaxPooling2D from keras layers import Conv2D  Dense  Flatten

User · Answer

Its not quite fine to downgrade everytime  you may need to make following changes as shown below   Tensorflow  import tensorflow as tf   Keras from tensorflow keras models import Sequential  Model  load model  save model from tensorflow keras callbacks import ModelCheckpoint from tensorflow keras layers import Dense  Activation  Dropout  Input  Masking  TimeDistributed  LSTM  Conv1D  Embedding from tensorflow keras layers import GRU  Bidirectional  BatchNormalization  Reshape from tensorflow keras optimizers import Adam  from tensorflow keras layers import Reshape  Dropout  Dense Multiply  Dot  Concatenate Embedding from tensorflow keras import optimizers from tensorflow keras callbacks import ModelCheckpoint   The point is that instead of using   from keras layers import Reshape  Dropout  Dense Multiply  Dot  Concatenate Embedding   you need to add   from tensorflow keras layers import Reshape  Dropout  Dense Multiply  Dot  Concatenate Embedding

User · Answer

Use the keras module from tensorflow like this   import tensorflow as tf  Import classes  from tensorflow python keras layers import Input  Dense  or use directly  dense   tf keras layers Dense       EDIT Tensorflow 2  from tensorflow keras layers import Input  Dense  and the rest stays the same

User · Answer

I had the same problem with Tensorflow 2 0 0 in PyCharm  PyCharm did not recognize tensorflow keras  I updated my PyCharm and the problem was resolved

User · Answer

To make it simple I will take the two versions of the code in keras and tf keras  The example here is a simple Neural Network Model with different layers in it   In Keras  v2 1 5   from keras models import Sequential from keras layers import Dense  def get model n x  n h1  n h2       model   Sequential       model add Dense n h1  input dim n x  activation  relu        model add Dense n h2  activation  relu        model add Dropout 0 5       model add Dense 4  activation  softmax        model compile loss  binary crossentropy   optimizer  adam   metrics   accuracy        print model summary        return model   In tf keras  v1 9   import tensorflow as tf  def get model n x  n h1  n h2       model   tf keras Sequential       model add tf keras layers Dense n h1  input dim n x  activation  relu        model add tf keras layers Dense n h2  activation  relu        model add tf keras layers Dropout 0 5       model add tf keras layers Dense 4  activation  softmax        model compile loss  categorical crossentropy   optimizer  adam   metrics   accuracy        print model summary         return model   or it can be imported the following way instead of the above-mentioned way  from tensorflow keras layers import Dense   The official documentation of  tf keras  Note  TensorFlow Version is 1 9

User · Answer

Update for everybody coming to check why tensorflow keras is not visible in PyCharm   Starting from TensorFlow 2 0  only PyCharm versions   2019 3 are able to recognise tensorflow and keras inside tensorflow  tensorflow keras  properly   Also  it is recommended by Francois Chollet  that everybody switches to tensorflow keras in place of plain keras

User · Answer

Try from tensorflow python import keras   with this  you can easily change keras dependent code to tensorflow in one line change   You can also try from tensorflow contrib import keras  This works on tensorflow 1 3  Edited  for tensorflow 1 10 and above you can use import tensorflow keras as keras to get keras in tensorflow

[python] How to import keras from tf.keras in Tensorflow?

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