This question has recently popped up in my mind. I’ve asked GPT and a couple of other models about the importance of bias term in convolutional layers. All of them responded differently and very superficially. I also occasionally see kaggle notebooks, where people set ‘bias=False’ or ‘bias=True’ in conv / dense layers, when training models. Can you share insights about why bias term might be important and when to consider enabling / disabling it? Thanks.