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the relevance of rnn models and attention models in computer vision becomes pronounced when you look at problems at the combination of vision and language this setting results in many sequence learning problems we saw one in the last lecture image captioning and weamp;#39;ll now go and go even further and talk about tasks such as visual question answering and visual dialogue one question that we left behind was instead of image captioning can we do the opposite go from caption to image using any models that weamp;#39;ve seen so far we can but not using the models that we have seen so far we will see generative models quite soon and see how we can use them to do caption to image generation in visual question answering which you can think of as an extension of the image captioning task the overview of the task is given an image such as what you see here and given a question such as what is the mustache made of the goal is for our system a deep learning model to give the answer
