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Deep Learning Assignment about: Least Squares, Regression, Logistic, Gradient Descent, Bias-Variance Decomposition, PCA.

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Deep Learning Assignment 1

In this assignment, I created interactive Jupyter notebooks using PyTorch to build mathematical models.

The notebooks offer hands-on experience with regression models, allowing students to explore key concepts like model training, optimization, and visualization using Matplotlib to better understand deep learning in action.

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You can open the main notebook file main.ipynb or main.pdf using your favorite viewer.

Please check out the previous results or run the notebook to reproduce the results.

License

MIT © Asher Jingkong Chen

Warning

The data files named in *.mat are provided by the course instructor and are not licensed or owned by Asher Jingkong Chen.

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