https://github.com/asherjingkongchen/deep-learn-assign-1
Deep Learning Assignment about: Least Squares, Regression, Logistic, Gradient Descent, Bias-Variance Decomposition, PCA.
https://github.com/asherjingkongchen/deep-learn-assign-1
bias-variance deep-learning gradient-descent least-squares logisitic-regression matplotlib practice primary-component-analysis python pytorch regression-models
Last synced: about 1 month ago
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Deep Learning Assignment about: Least Squares, Regression, Logistic, Gradient Descent, Bias-Variance Decomposition, PCA.
- Host: GitHub
- URL: https://github.com/asherjingkongchen/deep-learn-assign-1
- Owner: AsherJingkongChen
- License: mit
- Created: 2024-10-23T15:31:15.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-28T08:54:24.000Z (over 1 year ago)
- Last Synced: 2024-10-28T10:59:11.238Z (over 1 year ago)
- Topics: bias-variance, deep-learning, gradient-descent, least-squares, logisitic-regression, matplotlib, practice, primary-component-analysis, python, pytorch, regression-models
- Language: Jupyter Notebook
- Homepage:
- Size: 4.38 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Deep Learning Assignment 1
In this assignment, I created interactive Jupyter notebooks using [PyTorch](https://pytorch.org/) to build mathematical models.
The notebooks offer hands-on experience with [regression models](https://en.wikipedia.org/wiki/Regression_analysis), allowing students to explore key concepts like model training, optimization, and visualization using [Matplotlib](https://matplotlib.org/) to better understand deep learning in action.
## Get Started
You can open the main notebook file [`main.ipynb`](main.ipynb) or [`main.pdf`](main.pdf) using your favorite viewer.
Please check out the previous results or run the notebook to reproduce the results.
## License
[MIT](LICENSE) © 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.