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license: apache-2.0 |
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Implemented as a **Multi-Layer Perceptron to classify handwritten Digits (0-9)** |
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[[Annotated Notebook](https://github.com/dcarpintero/fastai-deeplearning/blob/main/course2024/lesson_03.full.mnist.mlp.md)] |
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**Model Architecture and Results** |
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The model comprises a flattening layer and three linear layers `((128, 64) hidden dimensions)` with relus to approximate non-linearity. It achieves 90% accuracy after `10 training epochs` and `batch size = 128`. Taining and Test MNIST datasets are loaded with PyTorch [dataloaders](https://pytorch.org/tutorials/beginner/basics/data_tutorial.html). |
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