import keras as K from keras.models import Sequential from keras.layers import Dense from tensorflow import set_random_seed for hidden_neuron in hidden_neurons: model = Sequential()
model.add(Dense(hidden_neuron, input_dim=61, activation='relu'))
-> i am getting error at this line. I am not really sure what am i missing here.
Traceback (most recent call last):
File "PycharmProjects/HW2/venv/bin/hw3q4.py", line 46, in model.add(Dense(hidden_neuron, input_dim=61, activation='relu')) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/keras/engine/sequential.py", line 165, in add layer(x) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/keras/engine/base_layer.py", line 414, in call self.assert_input_compatibility(inputs) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/keras/engine/base_layer.py", line 279, in assert_input_compatibility K.is_keras_tensor(x) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py", line 472, in is_keras_tensor if not is_tensor(x): File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py", line 480, in is_tensor return isinstance(x, tf_ops._TensorLike) or tf_ops.is_dense_tensor_like(x) AttributeError: module 'tensorflow.python.framework.ops' has no attribute '_TensorLike'
For me, the fix was importing
from tensorflow.keras import Sequential from tensorflow.keras.layers import Conv2D, Flatten, Dense
instead of
from keras import Sequential from keras.layers import Conv2D, Flatten, Dense
There seems to be some weird compatibility issues between keras and tensorflow.keras
You can use the following import command:
from tensorflow.keras.layers import ...
instead of the 'old' one:
from keras.layers import ....
As described here.
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