I have a saved model with h5
format created using keras
with tensorflow v1.x
backend. I can no longer load this model in keras
with tensorflow v2.x
backend using keras.models.load_model
. Is there anyway to migrate the saved model to make it compatible with newer keras
with tensorflow v2.x
backend?
So far I have found tools / tutorials to migrate the code but I could not find any useful way to upgrade the saved models. I know there is tf.compat.v1.saved_model.load
method for tensorflow but I cannot really use that as I saved the model using keras
.
您应该能够在 TensorFlow 1.x 和 2.x 中加载相同的模型,但为此您需要使用支持两者的 Keras 版本,例如 Keras 2.3.1
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