A CNN and LSTM-based Model for Creating Captions for Photos

Can a machine interpret an image's meaning with the same speed as human brain when it is seen? This problem was heavily researched by computer vision specialists, who believed to be unsolvable until recently. It now possible develop models that can generate captions for pictures because of advancements in deep learning techniques, accessibility large datasets, and processing power. will accomplished Python-based implementation article's convolutional neural network technique particular kind recurrent network. Here proposed model uses CNN LSTM methods achieve desired task