更新60分钟入门PyTorch

8.deep-learning/PyTorch_beginner/60分钟入门PyTorch-0.目录.ipynb

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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"
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+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}