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docs/2.0/tutorials/beginner/deep_learning_60min_blitz.md
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# 使用 PyTorch 进行深度学习:60 分钟闪电战 [¶](#deep-learning-with-pytorch-a-60-month-blitz "永久链接到此标题") | ||
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> 译者:[片刻小哥哥](https://github.com/jiangzhonglian) | ||
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> 项目地址:<https://pytorch.apachecn.org/2.0/tutorials/beginner/deep_learning_60min_blitz> | ||
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> 原始地址:<https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html> | ||
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**作者** | ||
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[Soumith Chintala](http://soumith.ch) | ||
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**作者** :[Soumith Chintala](http://soumith.ch) | ||
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## 什么是 PyTorch? [¶](#what-is-pytorch "此标题的永久链接") | ||
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PyTorch 是一个基于 Python 的科学计算包,有两个广泛的用途: | ||
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PyTorch 是一个基于 Python 的科学计算包,有两个广泛的用途: | ||
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* NumPy 的替代品,可利用 GPU 和其他加速器的功能。 | ||
* 一个自动微分库,可用于实现神经网络。 | ||
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## 本教程的目标: [¶](#goal-of-this-tutorial "永久链接到此标题") | ||
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* 深入了解 PyTorch’s tensor库和神经网络。 | ||
* 训练小型神经网络来对图像进行分类 | ||
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要运行下面的教程,请确保您拥有[torch](https://github.com/pytorch/pytorch)、[torchvision](https://github.com/pytorch/Vision)、和[matplotlib](https://github.com/matplotlib/matplotlib)已安装软件包。 | ||
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要运行下面的教程,请确保您拥有 | ||
[torch](https://github.com/pytorch/pytorch) | ||
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[torchvision](https://github.com/pytorch/Vision) | ||
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和 | ||
[matplotlib](https://github.com/matplotlib/matplotlib) | ||
已安装软件包。 | ||
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tensor | ||
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在本教程中,您将学习 PyTorch tensor的基础知识。 | ||
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代码 | ||
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torch.autograd 简要介绍 | ||
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了解 autograd。 | ||
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代码 | ||
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神经网络 | ||
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本教程演示如何在 PyTorch 中训练神经网络。 | ||
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代码 | ||
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训练分类器 | ||
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了解如何使用 | ||
CIFAR10 数据集在 PyTorch 中训练图像分类器。 | ||
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代码 | ||
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* 在本教程中,您将学习 PyTorch tensor 的基础知识。 | ||
* 了解 torch.autograd | ||
* 学习如何在 PyTorch 中训练神经网络。 | ||
* 了解如何使用CIFAR10 数据集在 PyTorch 中训练图像分类器。 |
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