leehanchung/cs182
Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks
This project offers a practical self-study guide for understanding and implementing deep neural networks. It provides detailed assignments, lecture notes, and solutions that cover various advanced topics in deep learning. Researchers, machine learning engineers, and students aiming to deepen their knowledge of neural network design and visualization would find this useful.
No commits in the last 6 months.
Use this if you want to learn how to design, visualize, and understand deep neural networks through hands-on coding exercises and practical implementations.
Not ideal if you are looking for a plug-and-play solution for a specific application without delving into the underlying mechanics of neural networks.
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85
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25
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 21, 2022
Commits (30d)
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