sangyx/d2l-torch
《动手学深度学习》 PyTorch 版本
This project provides an alternative implementation of the "Dive into Deep Learning" textbook using PyTorch. It helps deep learning students and practitioners understand fundamental concepts by translating the original MXNet code examples into PyTorch. You'll use this to follow along with the textbook, running and experimenting with deep learning models in a different framework.
180 stars. No commits in the last 6 months.
Use this if you are learning deep learning and prefer to use PyTorch instead of MXNet for the practical code examples in the "Dive into Deep Learning" textbook.
Not ideal if you are looking for the latest updates or need the chapters on computational performance and computer vision, as those are not maintained here.
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Jupyter Notebook
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Last pushed
Feb 09, 2020
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