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 "<ipython-input-6-b5da44e251a5>", line 1, in <module>
from keras.layers import Input, Dense
ModuleNotFoundError: No module named 'keras'
How do I solve this?
Note: I am using Tensorflow version 1.4
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.
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.
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
this worked for me in tensorflow==1.4.0
from tensorflow.python import keras
Its not quite fine to downgrade everytime, you may need to make following changes as shown below:
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
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
.
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
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!
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