Image Captioning using Convolutional Neural Networks and Long Short Term Memory Cells

This paper discusses an efficient approach to captioning a given image using combination of Convolutional Neural Network (CNN) and Recurrent Networks (RNN) with Long Short Term Memory Cells (LSTM). Image is realm deep learning computer vision which deals generating relevant captions for input image. The research in this area includes the hyperparameter tuning generate are as accurate possible. basic outline process giving CNN outputs feature map. map passed RNN sentence describing because method demonstrates true power encoder-decoder network made up potentially will open many pathways further interesting on different types neural networks.