[Code] Studying Pytorch for Deep Learning Models

1. Using @torch.no_grad() 

• It's a decorator used in Pytorch that disables automatic differentiation. This means that gradients are not calculated within the scope of this function.
• Since the goal is not to update model weights but rather generate results, it is primarily used during the inference phase.

2. torch.randn() vs torch.randn_like()

 

~ to be continued ~ 

~ gonna keep updating ~