This repository implements the VIS+LSTM visual question answering model from a research paper by Ren, Kiros & Zemel. It uses VGG-19 CNN to extract image features and LSTM to process questions, combining both to generate answers about images. The model is trained on MSCOCO images paired with VQA dataset question-answer pairs.