h1vem1nd85
h1vem1nd85
> Also I'm wondering here, what is the effect of optimizer on train_on_batch. AFAIK optimizer is meant to drive the learning rate over the whole fitting of the model, but...
As I said, I've only just started experimenting with the unified model. `fit` is certainly better than train_on_batch either way. The only way to truly have a "simultaneously trained layer"...
The AU coefs are essentially face pose weights used to generate a facial expression. Through their method, a single source image 'xsrc' can be "posed" using a series of 'ytgt'...