Category "loss"

Train multi-output regression model in pytorch

I'd like to have a model with 3 regression outputs, such as the dummy example below: import torch class MultiOutputRegression(torch.nn.Module): def __init

Custom keras loss function binary cross entropy giving improper results

Did anyoe have a convincing solution to make custom_binarycrossentropy work? I tried all possible methods (even making the whole training data size same as the

Comparing MSE loss and cross-entropy loss in terms of convergence

For a very simple classification problem where I have a target vector [0,0,0,....0] and a prediction vector [0,0.1,0.2,....1] would cross-entropy loss converge