Video classification on UCF50 dataset
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Updated
Sep 25, 2020 - Python
Video classification on UCF50 dataset
Course project (optional task 1) of SJTU CS3612: Machine Learning, 2023 spring
Exploring efficient image compression and decompression techniques for the Pokemon database. This project explores the implementation of CNN and RNN encoders/decoders, aiming to enhance image storage and retrieval. Computing valuable insights related to compression performance and quality metrics.
This project aims at training a CNN-RNN model to predict captions for a given image. The main task is to implement an effective RNN decoder for a CNN encoder.
a full deep learning pipeline that generates captions for images using a CNN encoder & RNN decoder
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