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MNIST MLP Classification with PyTorch by am23s006 is a document available to read on EtoBox.
What is MNIST MLP Classification with PyTorch about?
The document outlines the programming assignment for EE5179 focused on MNIST classification using a Multi-Layer Perceptron (MLP), due by September 8, 2024. It details the software and packages used, the architecture of the network, various activation functions and their results, hyperparameter tuning, and inference from the tuning process. The assignment includes testing accuracy results for different activation functions and hyperparameter configurations, highlighting the effectiveness of the ReLU activati
- Author
- am23s006
- Language
- EN