sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning
A PyTorch tutorial implementing the Show, Attend, and Tell paper for generating descriptive captions for images.
Not currently ranked — collecting fresh signals.
star history
This repository provides a step-by-step tutorial for implementing the Show, Attend, and Tell model for image captioning. The model uses a convolutional neural network encoder to extract image features and a recurrent neural network decoder with attention mechanism to generate natural language descriptions. It is trained on the MSCOCO dataset and demonstrates the encoder-decoder architecture with visual attention that aligns image regions to generated words.
Frequently asked
- What is sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning?
- A PyTorch tutorial implementing the Show, Attend, and Tell paper for generating descriptive captions for images.
- Is a-PyTorch-Tutorial-to-Image-Captioning open source?
- Yes — sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning is open source, released under the MIT license.
- What language is a-PyTorch-Tutorial-to-Image-Captioning written in?
- sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning is primarily written in Python.
- How popular is a-PyTorch-Tutorial-to-Image-Captioning?
- sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning has 2.9k stars on GitHub.
- Where can I find a-PyTorch-Tutorial-to-Image-Captioning?
- sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning is on GitHub at https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning.