I try to run this code:
from keras.models import Sequential
from keras.layers import Dense, Activation
from keras.optimizers import SGD
and I get this error:
ImportError: cannot import name 'SGD' from 'keras.optimizers' (C:\Users\user\AppData\Roaming\Python\Python38\site-packages\keras\optimizers.py)
Earlier when I was trying to learn keras with python, I did not encounter this problem, but later I encountered other errors. After I updated all the plugins and reinstalled anaconda3, I encountered this problem.
I changed the code content by referring to the information I found, and there is no error afterwards.
from keras.models import Sequential
from keras.layers import Dense, Activation
from tensorflow.keras.optimizers import SGD
But later I encountered the following error:
model.compile(loss='mse', optimizer=SGD(lr=0.1),
metrics=['accuracy'])
ValueError: Could not interpret optimizer identifier: <tensorflow.python.keras.optimizer_v2.gradient_descent.SGD object at 0x0000023987198520>
Are the above 2 questions related to connectivity?
Where is the error of from keras.optimizers import SGD?
model.compile(loss='mse', optimizer=SGD(lr=0.1),metrics=['accuracy']) How should I modify it?
Please know that the seniors helped to point out the problem and the solution, thank you.
If you want to use anything from tf.keras (e.g. SGD) you should consistently use everything from tf.keras. I.e. tf.keras.models and tf.keras.layers
This is the recommendation for TF2. Please see: https://www.tensorflow.org/tutorials/quickstart/beginner