This project involves implementing a Multilayer Perceptron (MLP) using the PyTorch library for MNIST-handwriting-digits dataset.
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Updated
Jul 4, 2024 - Jupyter Notebook
This project involves implementing a Multilayer Perceptron (MLP) using the PyTorch library for MNIST-handwriting-digits dataset.
we utilize a novel quantile filtering algorithm, a Radial Basis Function and Multi-layer Perceptron Neural network
The projects are part of the graduate-level course CSE-574 : Introduction to Machine Learning [Spring 2019 @ UB_SUNY] . . . Course Instructor : Mingchen Gao (https://cse.buffalo.edu/~mgao8/)
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