great product you have here!
I’m trying to add a custom learning rate scheduler using the “advanced” mode for a NN block.
Because of a bug in TF2, this is not possible. I get the following error after training is complete:
“ValueError: Unknown decay: DoubleCosineDecay!”
I believe that after training the NN, you try to read back the “best” epoch using something like:
model = tf.keras.models.load_model('saved-models/model112')
if you changed that to
model = tf.keras.models.load_model('saved-models/model112', **compile=False**) **model.compile()**
Then that should work fine. (I get the problem all the time when doing Jupyter notebooks with TF, and this is the currently accepted work-around)
Hope you can help on this