I am a trained model. Now, I need to feed some random data to it, and then use the gradients to update the random data! I am hoping to see meaningful patterns in the learned data at the end. This is similar to activation maximization in Neural Networks.
However, I am not sure how to add my tensor data into the optimizer! Could anyone help me with this?
Thanks a lot