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In this video, we will create a machine learning model that can describe images using words, also known as image captioning. So, till the end, you will create an interface like this in which generating captions is as easy as clicking on this button, choosing whatever image you like, and getting the captions back. The concept of image captioning is fairly simple. You take an image and try to generate a caption that matches the gist of that image as closely as possible. Like here, the caption of this image is amp;quot;Baseball game in large stadium with ball flying toward batteramp;quot;. This summarises the entire meaning of the image in a single sentence. As humans, we have no trouble doing this, but back in 2015, image captioning was considered one of the most difficult tasks in machine learning since it lies at the intersection between NLP and computer vision. They both have to work in coordination to make image captioning possible. Then the attention mechanism came to the rescue,
