How to use values from previous Keras layer in convert_to_tensor_fn for TensorFlow Probability DistributionLambda
How to use values from previous Keras layer in convert_to_tensor_fn for TensorFlow Probability DistributionLambda Question: I have a Keras/TensorFlow Probability model where I would like to include values from the prior layer in the convert_to_tensor_fn parameter in the following DistributionLambda layer. Ideally, I wish I could do something like this: from functools import partial import …