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- import tensorflow as tf
- from keras.applications import ResNet50
- import keras.backend as K
- import tensorflow.keras.backend as J
- model = ResNet50()
- model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])
- print(K.get_session())
- print(J.get_session())
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