https://github.com/srking501/csc8637_coursework

A summative coursework for CSC8637 Deep Learning
https://github.com/srking501/csc8637_coursework

ai cyclegan data-preprocessing data-science evaluation-metrics fine-grained-classification gan gans generative-adversarial-network image-classification lstm lstm-classification rnn rnn-lstm rnn-tensorflow time-series timeseries timeseries-forecasting

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A summative coursework for CSC8637 Deep Learning

• Host: GitHub
• URL: https://github.com/srking501/csc8637_coursework
• Owner: Srking501
• Created: 2024-03-08T17:18:47.000Z (11 months ago)
• Default Branch: master
• Last Pushed: 2024-03-08T17:41:55.000Z (11 months ago)
• Last Synced: 2024-11-30T15:15:17.159Z (2 months ago)
• Topics: ai, cyclegan, data-preprocessing, data-science, evaluation-metrics, fine-grained-classification, gan, gans, generative-adversarial-network, image-classification, lstm, lstm-classification, rnn, rnn-lstm, rnn-tensorflow, time-series, timeseries, timeseries-forecasting
• Language: Jupyter Notebook
• Homepage:
• Size: 10.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# CSC8637 Deep Learning

The CycleGAN model is from:-

* https://keras.io/examples/generative/cyclegan/

```bibtex

@inproceedings{CycleGAN2017,

  title={Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks},

  author={Zhu, Jun-Yan and Park, Taesung and Isola, Phillip and Efros, Alexei A},

  booktitle={Computer Vision (ICCV), 2017 IEEE International Conference on},

  year={2017}

}

```

The datasets used:-

For Task 1 CycleGAN:

* UTK Face Cropped: https://www.kaggle.com/datasets/abhikjha/utk-face-cropped

* Inceptionv3: https://www.kaggle.com/code/bmarcos/image-recognition-gender-detection-inceptionv3/data

* Dog Face Dataset: https://images.cv/dataset/dog-face-image-classification-dataset

* Cat Dataset: https://www.kaggle.com/datasets/spandan2/cats-faces-64x64-for-generative-models

For Task 2 Fine-grained image classification:

* https://www.kaggle.com/datasets/seryouxblaster764/fgvc-aircraft/code

For Task 3 is a dataset made by the University:-

The file is a comma separated value (CSV) file with the following columns:

* Date and time of the event

* The event type – either LOGIN or LOGOUT

* The cluster on which the event occurred

* The duration – for a LOGIN this is the number of milli-seconds the user was logged in for, for a LOGOUT this is zero

* The total number of users logged in at that point in time