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Optimizing Deep Learning Models and Fraud Detection
This chapter discusses optimizing deep learning models using PyTorch and PyTorch lightning, as well as the process of fraud detection using raw data. It covers topics such as reproducing and improving neural networks, tokenization, data transformation, and data exploration using Livebook and X-plotter.