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Distribution transparent Machine Learning experiments on Apache Spark
An ablation study conducted on the CIFAR-100 dataset. Three deep learning architectures are utilized: Convolutional Neural Networks (CNN), Gated Multilayer Perceptrons (gMLP), and Vision Transformers (ViT). The study is built using the PyTorch framework as well as PyTorch Lightning for clean and concise code and Optuna for hyperparameter tuning.