When running this in Jupyter notebooks (python):
import tensorflow as tf
from tensorflow import keras
I get this error:
ImportError: cannot import name 'keras'
I've tried other commands in place of the second one, such as (but not limited to)
from tensorflow.keras import layers
But it always returns some error. I'm using the online version of Jupyter, and running print(tf.VERSION)
returns 1.1.0. I'm not sure if the problem is just that I have the wrong version, or if it's something else. How do I fix this?
importerror: cannot import name ‘adam’ from ‘keras.optimizers’ error occurs because of using keras import in the place of tensorflow.keras imports . See, Since Keras is one of the most popular High level deep learning libraries. Later on TensorFlow 2.0 version, Google Tensorflow Team has released an encapsulated keras library.
To Solve cannot import name ‘pad_sequences’ from ‘keras.preprocessing.sequence’ Error You just need to import pad_sequences in this way: from keras_preprocessing.sequence import pad_sequences And now, your error Will be gone. cannot import name ‘pad_sequences’ from ‘keras.preprocessing.sequence’
Adam is a stochastic gradient descent optimizer that works on adaptive estimations. Gradient descent is useful in adjusting the weights in hidden layers. it is computationally more complex to Adam optimizer. Q-2 How do I import Keras optimizer? However, Here we can configure optimizer_name as per the scenario.
In that case, you didn't recommend install keras, just install tensorflow 2.5.0. Sorry, something went wrong. I'm getting this now. Sorry, something went wrong. I think you resolve the setting problem for your own device. because, depend on device, you can install the possible version. Sorry, something went wrong.
I think you are using old version tensorflow
Try to update it like
! pip install tensorflow --upgrade
You have an old version of Tensorflow; to access Keras from Tensorflow 1.1, you should use
import tensorflow.contrib.keras as keras
For Sequential, use
from tensorflow.contrib.keras.python.keras.models import Sequential
model = Sequential()
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