From 4005ab3cd9c15dca77946ddf2e15d4dbe5d718c9 Mon Sep 17 00:00:00 2001
From: big-blood <872424234@qq.com>
Date: Tue, 10 Aug 2021 19:22:00 +0800
Subject: [PATCH] =?UTF-8?q?=E7=99=BE=E5=BA=A6=E9=A3=9E=E6=A1=A8=E9=93=BE?=
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examples/USTC/homework.md | 40 ------
examples/awesome-DeepLearning_pr_procedure.md | 121 ------------------
examples/homework.md | 40 ------
examples/template/README.md | 74 -----------
examples/template/data_process.py | 13 --
examples/template/evaluation.py | 13 --
examples/template/example.ipynb | 36 ------
examples/template/example.md | 6 -
examples/template/images/demo.png | Bin 110453 -> 0 bytes
examples/template/predict.py | 13 --
examples/template/train.py | 13 --
...20\344\272\244\350\257\246\346\203\205.md" | 27 +---
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delete mode 100644 examples/USTC/homework.md
delete mode 100644 examples/awesome-DeepLearning_pr_procedure.md
delete mode 100644 examples/homework.md
delete mode 100644 examples/template/README.md
delete mode 100644 examples/template/data_process.py
delete mode 100644 examples/template/evaluation.py
delete mode 100644 examples/template/example.ipynb
delete mode 100644 examples/template/example.md
delete mode 100644 examples/template/images/demo.png
delete mode 100644 examples/template/predict.py
delete mode 100644 examples/template/train.py
diff --git a/examples/USTC/homework.md b/examples/USTC/homework.md
deleted file mode 100644
index d72520ddf..000000000
--- a/examples/USTC/homework.md
+++ /dev/null
@@ -1,40 +0,0 @@
-【作业】
-1. 使用CIFAR10数据集，基于EffNet网络实现图像分类。
-2. 使用CIFAR10数据集，基于DarkNet网络实现图像分类。
-3. 在眼疾识别数据集上训练SENet网络。
-4. 在眼疾识别数据集上训练SqueezeNet网络。
-5. 在眼疾识别数据集上训练DPN网络。
-6. 使用THUCNews标题数据集，基于textcnn网络实现文本分类。
-7. 基于LSTM网络训练一个语言模型，并尝试用于下一个词预测任务进行效果验证。
-8. 使用LCQMC数据集，基于LSTM网络训练一个文本匹配模型。
-9. 使用ChnSentiCorp数据集，基于GRU网络完成情感分析模型。
-10. 手动实现LSTM模型，并尝试利用IMDB数据集进行情感分析。
-
-参考链接：https://aistudio.baidu.com/aistudio/education/group/info/1297
-https://github.com/PaddlePaddle/PaddleClas
-
-
-要求:
-实训作业分为理论讲解和代码实现两部分，模型理论要求对实训作业中使用的模型进行详细的解释，图文并茂为佳。
-代码实现部分书写流程如下:
-1. 实验设计逻辑:解释任务，说明实验设计逻辑
-2. 数据处理:解释数据集，处理数据为模型输入格式
-3. 模型设计:根据任务设计模型，需要给出模型设计图
-4. 训练配置:定义模型训练的超参数，模型实例化，指定训练的cpu或gpu资 源，定义优化器等等
-5. 模型训练与评估:训练模型，在训练过程中，根据开发集适时打印结果
-6. 模型推理:设计一个接口函数，通过这个接口函数能够方便地对任意一个样本进行实时预测
-
-特殊任务如强化学习可以省略数据处理和模型推理部分。书写流程可参考：https://aistudio.baidu.com/aistudio/projectdetail/2023570
-
-作业命名及pr commit要以作业内容进行命名，需用英文命名，不可以使用学号/姓名或xxx homework等形式。命名方式举例：image classification with VGG model on CIFAR-10 dataset.
-
-提交格式:
-使用 aistudio 实训平台进行作业实现，在 github repo 中以提pr的形式提交 aistudio 链接（注意:作业需要公开才能看到)，注意保留训练结果和日志；提交 python 版本可以获得额外 加分，python 版本需要将代码按模块拆分，并提交详细的 readme(包括模型简介、数据 准备、模型训练、模型测试及测试结果、模型推理和参考论文)，可参考: https://github.com/PaddlePaddle/PaddleVideo/blob/develop/docs/zh-CN/model_zoo/recognition/tsm.md
-
-作业提交地址:
-https://github.com/PaddlePaddle/awesome-DeepLearning/tree/develop/examples
-
-提交pr流程:
-https://github.com/PaddlePaddle/awesome-DeepLearning/blob/develop/examples/awesome-DeepLearning_pr_procedure.md
-
-
diff --git a/examples/awesome-DeepLearning_pr_procedure.md b/examples/awesome-DeepLearning_pr_procedure.md
deleted file mode 100644
index 939d1cd83..000000000
--- a/examples/awesome-DeepLearning_pr_procedure.md
+++ /dev/null
@@ -1,121 +0,0 @@
-# awesome-DeepLearning pull request 教程
-
-1. 打开【终端】，进入想要存放repo文件的目录下
-
- 比如这里想存放在 Desktop/examples/目录下
-
- 
-
-
-
-2. 配置git
-
- 配置用户名：git config --global user.name username
-
- 配置邮箱：git config --global user.email user@email
-
- **username 和 user@email 需要替换成自己github账号的用户名和邮箱**
-
- 
-
-
-
-3. 将awesome-DeepLearning fork到自己的github仓库中
-
- 
-
- 
-
- 大家fork出来得到的目录应该是username/awesome-DeepLearning，这里显示/tutorials是一个名称更换问题，不用在意。
-
-
-
-4. 在本地克隆 fork 项目
-
- > git clone https://github.com/ZhangHandi/tutorials.git
-
- **后面这个地址需要用自己github仓库下awesome-DeepLearning的地址进行替换**
-
- 
-
-
-
-5. cd 到克隆的项目
-
- > cd awesome-DeepLearning/
-
-
-
-6. 添加上游地址
-
- > git remote add upstream https://github.com/PaddlePaddle/awesome-DeepLearning.git
-
- **这个地址不用更换**
-
-
-
-7. 获取上游代码
-
- > git fetch upstream
-
-
-
-8. 切换到上游的 upstream/master 分支
-
- > git checkout upstream/master
-
-
-
-9. 在上游分支 upstream/master 的基础上新建 my_branch 分支
-
- > git checkout -b my_branch
-
- **my_branch这个分支命名可以替换**
-
-
-
-10. 修改要修改的部分，比如将文件放到awesome-DeepLearning中的examples文件夹下，进行作业提交
-
-
-
-11. 添加修改的文件，对修改的文件进行代码规范，pre-commit 会自动调整代码格式，执行一次即可，后续commit不用再执行
-
- > git add .
- >
- > pip install pre-commit
- >
- > pre-commit install
-
-
-
-12. 提交修改
-
- > git commit -m ' '
-
- **' ' 中可以添加针对修改的评论，突出实现的功能要点。pre-commit 对代码进行修改后，需要再次执行git add . 和 git commit 步骤**
-
-
-
-13. push 到远程分支
-
- > git push origin my_branch
-
-
-
-14. 最后在自己的github上的pull request模块提交pr
-
- push 后打开自己github仓库下的awesome-DeepLearning，会看到 **compare & pull request** 的按钮，点击，跳转到下面的页面，点击 **create pull request** 提交pr。
-
- 
-
- 
-
-
-
-15. 提交pr后，点击签署CLA协议，未签署协议会显示“Some checks haven't completed yet”，确认“all checks have passed”，及为成功提交pr。
-
- 
-
- 
-
- 
diff --git a/examples/homework.md b/examples/homework.md
deleted file mode 100644
index 8a791cb2c..000000000
--- a/examples/homework.md
+++ /dev/null
@@ -1,40 +0,0 @@
-【作业】
-1. 使用CIFAR10数据集，基于EffNet网络实现图像分类。
-2. 使用CIFAR10数据集，基于DarkNet网络实现图像分类。
-3. 在眼疾识别数据集上训练SENet网络。
-4. 在眼疾识别数据集上训练SqueezeNet网络。
-5. 在眼疾识别数据集上训练DPN网络。
-6. 使用THUCNews标题数据集，基于textcnn网络实现文本分类。
-7. 基于LSTM网络训练一个语言模型，并尝试用于下一个词预测任务进行效果验证。
-8. 使用LCQMC数据集，基于LSTM网络训练一个文本匹配模型。
-9. 使用ChnSentiCorp数据集，基于GRU网络完成情感分析模型。
-10. 手动实现LSTM模型，并尝试利用IMDB数据集进行情感分析。
-
-参考链接：https://aistudio.baidu.com/aistudio/education/group/info/1297
-https://github.com/PaddlePaddle/PaddleClas
-
-
-要求:
-实训作业分为理论讲解和代码实现两部分，模型理论要求对实训作业中使用的模型进行详细的解释，图文并茂为佳。
-代码实现部分书写流程如下:
-1. 实验设计逻辑:解释任务，说明实验设计逻辑
-2. 数据处理:解释数据集，处理数据为模型输入格式
-3. 模型设计:根据任务设计模型，需要给出模型设计图
-4. 训练配置:定义模型训练的超参数，模型实例化，指定训练的cpu或gpu资 源，定义优化器等等
-5. 模型训练与评估:训练模型，在训练过程中，根据开发集适时打印结果
-6. 模型推理:设计一个接口函数，通过这个接口函数能够方便地对任意一个样本进行实时预测
-
-特殊任务如强化学习可以省略数据处理和模型推理部分。书写流程可参考：https://aistudio.baidu.com/aistudio/projectdetail/2023570
-
-作业命名及pr commit要以作业内容进行命名，需用英文命名，不可以使用学号/姓名或xxx homework等形式。命名方式举例：image classification with VGG model on CIFAR-10 dataset.
-
-提交格式:
-使用 aistudio 实训平台进行作业实现，在 github repo 中以提pr的形式提交 aistudio 链接（注意:作业需要公开才能看到)，注意保留训练结果和日志；提交 python 版本可以获得额外 加分，python 版本需要将代码按模块拆分，并提交详细的 readme(包括模型简介、数据 准备、模型训练、模型测试及测试结果、模型推理和参考论文)，可参考: https://github.com/PaddlePaddle/PaddleVideo/blob/develop/docs/zh-CN/model_zoo/recognition/tsm.md
-
-作业提交地址:
-https://github.com/PaddlePaddle/awesome-DeepLearning/tree/master/examples
-
-提交pr流程:
-https://github.com/PaddlePaddle/awesome-DeepLearning/blob/master/examples/awesome-DeepLearning_pr_procedure.md
-
-
diff --git a/examples/template/README.md b/examples/template/README.md
deleted file mode 100644
index 312cbf882..000000000
--- a/examples/template/README.md
+++ /dev/null
@@ -1,74 +0,0 @@
-# examples
-
-
-
-## 作业简介
-
-作业包括深度学习基础知识和代码实践，比如下面的形式：
-
-### 1. 深度学习基础知识
-
-+ CNN-DSSM知识点补充：补充DSSM变体模型的知识点，主要包括：概念，模型，作用，场景，优缺点等。 （10分）
-+ LSTM-DSSM知识点补充：补充DSSM变体模型的知识点，主要包括：概念，模型，作用，场景，优缺点等。
-+ MMoE多任务学习知识点补充：补充主流的推荐模型MMoE模型的知识点，主要包括：概念，模型，作用，场景，优缺点等。
-+ ShareBottom多任务学习知识点补充：补充经典的多任务学习ShareBottom模型的知识点，主要包括：概念，模型，作用，场景，优缺点等。
-+ YouTube深度学习视频推荐系统知识点：补充视频推荐的经典架构知识点，主要包括：概念，流程，原理，作用，优缺点等。
-
-### 2. 代码实践
-
-写一个广告推荐领域的“点击率预估模型”案例：
-
-+ 可选网络结构：DNN,DeepFM、wide&deep；
-
-+ 广告点击数据集Criteo网址： https://www.kaggle.com/c/criteo-display-ad-challenge/
-
-+ 具体形式为理论+代码。
-
-## 依赖模块
-
-书写程序运行所需要的python及相应的库的版本，比如：
-
-+ Python 3.x
-+ paddlepaddle==2.1.1
-......
-
-
-## 项目结构说明
-
-需要解释每一个python文件的作用和功能，必须包含的文件train.py, predict.py, 知识点的md文件，训练日志training.log， 比如下面的结构：
-
-```
-|-data_process.py: 数据预处理
-|-dataloader.py: 包含构建dataloader工具函数
-|-model.py: 模型的定义
-|-train.py: 训练文件，训练会输出日志等等
-|-predict.py: 启动模型预测的脚本，并且储存预测结果于txt文件
-|- example.md : example知识点的md文件
-|-example.ipynb : 模型的notebook文件
-|-training.log :训练过程的日志文件
-```
-
-
-
-## 代码实践运行
-
-需要把每一步的执行命令写清楚，并且有特殊的配置也需要相信说明，下面给出示例：
-
-### 数据预处理
-
-```
-python data_process.py
-```
-
-### 模型训练与评估
-```
-python train.py
-```
-
-### 模型预测
-```
-python predict.py
-```
-
-
-
diff --git a/examples/template/data_process.py b/examples/template/data_process.py
deleted file mode 100644
index 61d5aa213..000000000
--- a/examples/template/data_process.py
+++ /dev/null
@@ -1,13 +0,0 @@
-# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
\ No newline at end of file
diff --git a/examples/template/evaluation.py b/examples/template/evaluation.py
deleted file mode 100644
index 61d5aa213..000000000
--- a/examples/template/evaluation.py
+++ /dev/null
@@ -1,13 +0,0 @@
-# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
\ No newline at end of file
diff --git a/examples/template/example.ipynb b/examples/template/example.ipynb
deleted file mode 100644
index 0cb1a5f15..000000000
--- a/examples/template/example.ipynb
+++ /dev/null
@@ -1,36 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "source": [
- "# notebooks\n",
- "\n",
- "图文并茂，文字和代码结合，不能是大段的代码或者文字。"
- ],
- "metadata": {
- "collapsed": false
- }
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "PaddlePaddle 2.0.0b0 (Python 3.5)",
- "language": "python",
- "name": "py35-paddle1.2.0"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.7.4"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
\ No newline at end of file
diff --git a/examples/template/example.md b/examples/template/example.md
deleted file mode 100644
index db704be87..000000000
--- a/examples/template/example.md
+++ /dev/null
@@ -1,6 +0,0 @@
-# 知识点
-
-## 二级标题
-
-
-
diff --git a/examples/template/images/demo.png b/examples/template/images/demo.png
deleted file mode 100644
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