Image Caption Generator

Through significant optimizations in the decode routine, caption generation time was reduced from 3 seconds to 0.2 seconds, as documented in the Mar 12, 2017 update.

Supports freezing encoder and decoder graphs separately or merged into single ProtoBuf files, enabling deployment as blackbox models via utilities in /utils/, as detailed in the serving notebooks.

Compatible with both Flickr30K and MSCOCO datasets, with specific command-line arguments for feature extraction and training for each, as outlined in the procedure section.

Integrates with TensorBoard to visualize training steps versus loss metrics, aiding in model debugging and optimization, as mentioned in the miscellaneous notes.