Sep 3, 2018 · 1 min read
Categorical crossentropy reasons for only one class, when you need to classify a data on multiple classes you can not do it using this loss function. Only thing I did wrong here is the accuracy measurement. That’s why the results were similar. But there is no way you can use your code for multi-task problem. First reason that you used a softmax activation here and the loss function itself. There is another way around to solve this problem, which is done using sigmoid activation and binary classification loss.
