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Systematic comparison of 7 CNN architectures on CIFAR-10, achieving 90.71% accuracy with Wide ResNet. Includes regularization studies, optimizer comparisons, and Optuna hyperparameter optimization.
A feed-forward artificial neural network I created as part of a machine learning module during my MSc. This was on the UCI Bank Marketing dataset (preprocessed / encoded version), with 13 input fea…
Python
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