Why *0.5 the loss?

[cassie101]

Hi @bearpaw thank you for sharing the work, may I know what does the 0.5 stand for in the loss function?
loss += 0.5 * self.criterion(heatmap_pred, heatmap_gt)

[jake-shomer]

Same question

[v1093]

Here is an explanation: https://datascience.stackexchange.com/questions/52157/why-do-we-have-to-divide-by-2-in-the-ml-squared-error-cost-function