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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# 60分钟入门深度学习工具-PyTorch(目录)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"**作者**:Soumith Chintala\n", | ||
"\n", | ||
"原文翻译自:https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html\n", | ||
" \n", | ||
"中文翻译、注释制作:黄海广\n", | ||
"\n", | ||
"github:https://github.com/fengdu78\n", | ||
"\n", | ||
"代码全部测试通过。\n", | ||
"\n", | ||
"配置环境:PyTorch 1.0,Python 3.6\n", | ||
"\n", | ||
"主机:显卡:一块1080ti;内存:32g(注:绝大部分代码不需要GPU)\n", | ||
"![公众号](images/gongzhong.jpg)\n", | ||
" " | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"## 本教程的目标:\n", | ||
"\n", | ||
"* 在高层次上理解PyTorch的张量(Tensor)库和神经网络\n", | ||
"* 训练一个小型神经网络对图像进行分类\n", | ||
"* 本教程假设您对numpy有基本的了解\n", | ||
"\n", | ||
"**注意**: 务必确认您已经安装了 torch 和 torchvision 两个包。" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"## 目录" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"* 1.[Pytorch是什么?](60分钟入门PyTorch-1.PyTorch是什么?.ipynb)\n", | ||
"* 2.[AUTOGRAD](60分钟入门PyTorch-2.AUTOGRAD.ipynb)\n", | ||
"* 3.[神经网络](60分钟入门PyTorch-3.神经网络.ipynb)\n", | ||
"* 4.[训练一个分类器](60分钟入门PyTorch-4.训练一个分类器.ipynb)\n", | ||
"* 5.[数据并行](60分钟入门PyTorch-5.数据并行.ipynb)" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.6.2" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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