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Study Notes for Dive into Deep Learning using Pytorch. Dive into Deep Learning 中文学习笔记

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Dive into Deep Learning 中文学习笔记

About

本项目是根据《动手学深度学习》的 PyTorch 中文学习笔记,包括重要知识点汇总和代码测试。同时搭配这个仓库 一起学习。原书地址:中文英文。GitHub 地址:https://github.com/d2l-ai/d2l-zh。

This repository includes PyTorch study notes from the original Dive Into Deep Learning book by Aston Zhang, Zachary C. Lipton, Mu Li, Alex J. Smola and all the community contributors. Original Book: English, Chinese. GitHub of the original book: https://github.com/d2l-ai/d2l-en.

Table of Contents

Dive into Deep Learning 中文学习笔记
Title Link
用于回归的线性神经网络(Linear Neural Networks for Regression) colab
用于分类的线性神经网络(Linear Neural Networks for Classification) colab
多层感知机 (Multilayer Perceptrons) colab
深度学习计算 (Builders’ Guide) colab
卷积神经网络 (Convolutional Neural Networks) colab
经典卷积神经网络 (Modern Convolutional Neural Networks) colab
优化算法 (Optimization Algorithms) colab

Cite

If you use this work or code for your research please cite the original book with the following bibtex entry.

@book{zhang2020dive,
    title={Dive into Deep Learning},
    author={Aston Zhang and Zachary C. Lipton and Mu Li and Alexander J. Smola},
    note={\url{https://d2l.ai}},
    year={2020}
}

Licence

This repository is licensed under the Apache-2.0 License - see the LICENSE file for details.

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Study Notes for Dive into Deep Learning using Pytorch. Dive into Deep Learning 中文学习笔记

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