Data Science, Loss Function, Machine Learning, Neural Networks, TensorFlow.
vae_kl_loss(y_true, y_pred) rc_loss = vae_rc_loss(y_true, y_pred) kl_weight_const = 0.01 return kl_weight_const*kl_loss + rc_loss Depending on the math of your loss function, you may need to add additional parameters — such as the threshold value 𝛿 in the Huber Loss (above); to do this, you must