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A Comparative Study of Parallel Deep Learning for Plant Diseases Classification

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  • Please check the report here
  • Please check the presentation slides here

Code Structure

.
├── p3_2__dataset_splitting
│   ├── split.py
│   └── unzip.py
├── p3_3__eda.ipynb
│
├── p4_1__normalization.ipynb
├── p4_2_1__serial.ipynb
├── p4_2_2__workers_main.py
│   ├── p4_2_2__workers_2.ipynb
│   ├── p4_2_2__workers_4.ipynb
│   └── p4_2_2__workers_8.ipynb
├── p4_2_3__dp_main.py
│   └── p4_2_3__dp.sbatch
├── p4_2_4__ddp_main.py
│   └── p4_2_4__ddp.sbatch
├── p4_2_5__comp.py
├── p4_3__hpo_main.py
│   ├── p4_3__hpo_a100.ipynb
│   └── p4_3__hpo_comp.ipynb
├── p4_4__final_train.ipynb
│
├── hardware_info.py
├── plant_constants.py
├── plant_hps.py
├── plant_model.py
└── plot_evaluation.py

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