a-PyTorch-Tutorial-to-Image-Captioning

Why we included this project

Students and engineers learning PyTorch will find this a genuinely readable walkthrough of Show, Attend, and Tell, the classic encoder-decoder model with attention for image captioning. Instead of a single script, it pairs a clear conceptual explanation with commented training, validation, and inference code, so you can see how a ResNet encoder feeds an attention-weighted LSTM decoder and how beam search turns that into a final caption. Because the attention weights are visualized as each word is generated, the mechanism clicks far faster than it does reading the paper alone. It is a teaching implementation, not production software, but it gives you a working template you can adapt if you want to build or study a captioning pipeline on COCO.