It doesn't really make sense to use a movie lens dataset and teach TFRS. One should really use industry use case data for building models using TFRS. That would really add value.
im curious with the retrieval model. in its source code its using identity matrix as the label for its loss function during. which doesn't make sense to me. and it lacks of explanation.. please share with us if u dont mind. much appreciate thanks
Waiting for the next video. Very nice and concrete explanation by the way.
i was hesitated to watch it when i saw 800 views, but when i finish it i'd say it worth's 2 million views at least. good explanation
what about the task varible declaration ?
Such an awesome workout session!
Please make the follow up video on the ranking stage!
Praying for a follow-up video
It doesn't really make sense to use a movie lens dataset and teach TFRS. One should really use industry use case data for building models using TFRS. That would really add value.
Very good and funny videos bring a great sense of entertainment!
nice !
Next video??
im curious with the retrieval model. in its source code its using identity matrix as the label for its loss function during. which doesn't make sense to me. and it lacks of explanation.. please share with us if u dont mind. much appreciate thanks