Miraclelucy/dive_into_deep_learning
A study notes repository implementing Li Mu's deep learning course using PyTorch in PyCharm.
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Study notes for Li Mu’s “Dive into Deep Learning” course, reimplementing Jupyter notebooks as Python scripts using PyTorch. Covers fundamentals including data operations, linear algebra, calculus, automatic differentiation, linear regression, softmax regression, and multilayer perceptrons.
Frequently asked
- What is Miraclelucy/dive_into_deep_learning?
- A study notes repository implementing Li Mu's deep learning course using PyTorch in PyCharm.
- Is dive_into_deep_learning open source?
- Yes — Miraclelucy/dive_into_deep_learning is an open-source project tracked on heatdrop.
- What language is dive_into_deep_learning written in?
- Miraclelucy/dive_into_deep_learning is primarily written in Python.
- How popular is dive_into_deep_learning?
- Miraclelucy/dive_into_deep_learning has 3k stars on GitHub.
- Where can I find dive_into_deep_learning?
- Miraclelucy/dive_into_deep_learning is on GitHub at https://github.com/Miraclelucy/dive_into_deep_learning.