Caption Generation with the Inject and Merge Architectures for the Encoder-Decoder Model - Machine Learning Mastery

Caption generation is a challenging artificial intelligence problem that draws on both computer vision and natural language processing. The encoder-decoder recurrent neural network architecture has been shown to be effective at this problem. The implementation of this architecture can be distilled into inject and merge based models, and both make different assumptions about the role of the recurrent neural network in addressing the problem. In this post, you will discover the inject and merge architectures for the encoder-decoder recurrent neural network models on caption generation. Caption Generation with the Inject and Merge Architectures for the Encoder-Decoder Model Photo by Bernard Spragg.