Predicting brain activity from word embeddings
So I got an idea of using a pre-trained model to generate text from images in the Algonauts training set and then using a recurrent network to process the word embeddings sequentially and output a prediction. This is a difficult problem, the vector I am trying to predict is 19,000 dimensional.
