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This a model that will complete the name of the movie, when we provide the first word and so on (when the length of the movie title if more than 1 word) , there's no validation or test set , only training have been done because of shortage of data , the data used for training is TMDB data set available on kaggle

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Raplhbreaksgit-hub/NextWordMoviePredictor__

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NextWordMoviePredictor__

This a model that will complete the name of the movie, when we provide the first word and so on (when the length of the movie title if more than 1 word) , there's no validation or test set , only training have been done because of shortage of data , the data used for training is TMDB data set available on kaggle Used an LSTM architecture followed by a fully connected ANN layer to train over the TMDB dataset , the accuracy achieved was satisfactory with respect to the volume of the data Showed/Predicted , with the example of the movie "Pirates of Caribbean" and it successfully predicted the same

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This a model that will complete the name of the movie, when we provide the first word and so on (when the length of the movie title if more than 1 word) , there's no validation or test set , only training have been done because of shortage of data , the data used for training is TMDB data set available on kaggle

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