Have not posted much on stackoverflow and new to tensorflow. I followed this tutorial on how to install tensorflow for use on jupyter notebooks (https://github.com/jeffheaton/t81_558_deep_learning/blob/master/install/tensorflow-install-mac-jan-2021.ipynb).
When testing the environment I get Python 3.8.11, Tensor Flow 2.5.1 and Keras 2.5.0
Code I am trying to run:
import pandas as pd
import numpy as np
import tensorflow as tf
import re
from nltk.corpus import stopwords
from sklearn.model_selection import train_test_split
from sklearn.metrics import median_absolute_error as mae
from sklearn.metrics import mean_squared_error as mse
from sklearn.metrics import accuracy_score as acc
import matplotlib.pyplot as plt
from keras.models import Sequential
from keras import initializers
from keras.layers import Dropout, Activation, Embedding, Convolution1D, MaxPooling1D, Input, Dense, Merge, \
BatchNormalization, Flatten, Reshape, Concatenate
from keras.layers.recurrent import LSTM, GRU
from keras.callbacks import Callback, ModelCheckpoint, EarlyStopping, ReduceLROnPlateau
from keras.models import Model
from keras.optimizers import Adam, SGD, RMSprop
from keras import regularizers
The error I get is
ImportError Traceback (most recent call last)
<ipython-input-4-3a64b96c6d78> in <module>
10 import matplotlib.pyplot as plt
11
---> 12 from keras.models import Sequential
13 from keras import initializers
14 from keras.layers import Dropout, Activation, Embedding, Convolution1D, MaxPooling1D, Input, Dense, Merge, \
/opt/miniconda3/envs/tensorflow/lib/python3.8/site-packages/keras/__init__.py in <module>
23
24 # See b/110718070#comment18 for more details about this import.
---> 25 from keras import models
26
27 from keras.engine.input_layer import Input
/opt/miniconda3/envs/tensorflow/lib/python3.8/site-packages/keras/models.py in <module>
18 import tensorflow.compat.v2 as tf
19 from keras import backend
---> 20 from keras import metrics as metrics_module
21 from keras import optimizer_v1
22 from keras.engine import functional
/opt/miniconda3/envs/tensorflow/lib/python3.8/site-packages/keras/metrics.py in <module>
25
26 import numpy as np
---> 27 from keras import activations
28 from keras import backend
29 from keras.engine import base_layer
/opt/miniconda3/envs/tensorflow/lib/python3.8/site-packages/keras/activations.py in <module>
18
19 from keras import backend
---> 20 from keras.layers import advanced_activations
21 from keras.utils.generic_utils import deserialize_keras_object
22 from keras.utils.generic_utils import serialize_keras_object
/opt/miniconda3/envs/tensorflow/lib/python3.8/site-packages/keras/layers/__init__.py in <module>
146
147 # Normalization layers.
--> 148 from keras.layers.normalization import LayerNormalization
149 from keras.layers.normalization_v2 import SyncBatchNormalization
150
ImportError: cannot import name 'LayerNormalization' from 'keras.layers.normalization' (/opt/miniconda3/envs/tensorflow/lib/python3.8/site-packages/keras/layers/normalization/__init__.py)
I am aware that there have been posts about mismatch versions being the reason for this not working but not sure how I would go about independently changing the versions for tensorflow etc.. to make this work.
