Handle data that belongs to classes not seen in training or testing

[cudawarped]

Nice demonstration in colab, but as far as I can tell the approach is the same as that described by Jeremy in Lesson 9

@cudawarped

I have been playing with the pets data set using multi-category classification with a sigmoid loss function ( MultiCategoryBlock with BCEWithLogitsLossFlat) instead of softmax ( CategoryBlock with CrossEntropyLossFlat) as suggested by Jeremy in Lesson 9 (refered to as DOC in the paper).

Does muellerzr go into any alternative methods for solving this type of problem in his study group?