  This paper discusses and demonstrates the outcomes from our experimentation
on Image Captioning. Image captioning is a much more involved task than image
recognition or classification, because of the additional challenge of
recognizing the interdependence between the objects/concepts in the image and
the creation of a succinct sentential narration. Experiments on several labeled
datasets show the accuracy of the model and the fluency of the language it
learns solely from image descriptions. As a toy application, we apply image
captioning to create video captions, and we advance a few hypotheses on the
challenges we encountered.
