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View Code? Open in Web Editor NEWA multi-modal deep learning model trained to predict a movie's genre given the movie poster and overview as an input.
A multi-modal deep learning model trained to predict a movie's genre given the movie poster and overview as an input.
Hi @dh1105,
Thanks for the code.
Could you please clarify on the results obtained for the pytorch implementation in "Multi-modal-movie-genre-prediction/Movies_genre_predictor_training.ipynb"
The accuracy score on the test set is evaluated twice and it turns out to be drastically different. What could be the reason?
Also, for the second evaluation using sklearn metrics, the accuracy comes out to be way too less than an f-1 score. I am not sure what am I missing here.
Moreover, even I tried to run the code on my own dataset, and I get
How come acc and loss be almost similarly high, where on the other hand they should be complementary.
and following using sklear metrics:
Could you please clarify.
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