The bash files run_crisp.sh trains using the best curricula and GRUs. By default we use the hyperparameters that gave us decent performance for a reasonable training time. They may be changed inside ...

Constructs an Encoder-Decoder model (CNN + LSTM). Trains the model to predict captions word-by-word. Evaluates using BLEU and ROUGE scores. 📁 Dataset: Flickr8k (captions.txt & Images/) Trained to ...