This project implements the Show and Tell paper In simple words, it takes an image and produce an English sentence that describes the image.
Resnet: takes an image and produce a 300-dimension image embedding vector LSTM: takes the image embedding vector above and a start word token(STK) to produce a prediction for next word (as a probability distribution) Beam Search: Find the optimal sequence of words given by the probability distribution given at each time step(optimal only under some beam size, not optimal in general).
