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Neural Image Captioning, Done as course project for CS771 @ IITK

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Usage:

python3 train.py Path of the folder is files/models/

Input format:

Each caption (with start and end tokens) is converted into a one-hot matrix of shape MAX_SEQUENCE_LENGTH x VOCAB_SIZE. Output is this matrix rotated one row upwards, so first word has second word corresponding to it.

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Neural Image Captioning, Done as course project for CS771 @ IITK

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