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readme's Introduction

2023年03月4号以后,笔记更改为飞书记录,链接:https://g3zl906jfq.feishu.cn/wiki/wikcnKU1GWH6NF6TDmsV0e5JhDe

🍭理论篇

1⃣️ 数学

张宇的考研数学:

  • 高数
  • 线性代数
  • 概率

链接: https://pan.baidu.com/s/1E7FbAw94QcoaobBcgHXa1g 提取码: 7jm4

2⃣️ 语言

🍬C++🐾

🍃 编译相关

🍃 C++学习

🍃 C++工具

🍃 算法&数据结构

🍬Python🐾

🍃 深度之眼👀

🍃 Numpy&Matplotlib

🍃 Python封装工具

🍭环境篇

1⃣️ GPUs

🍬 GPU知识

🍬 GPUs训练环境安装

2⃣️ Pytorch

🍬Pytorch分布式🐾

🍃 Horovod搭建过程

🍬Pytorch函数学习📒

3⃣️ 工具

🍬 图像预处理

🍬 实验工具

🍬 IDE&Tools安装

🍭训练篇&部署篇

0⃣️ 常见报错

1⃣️ 检查数据

2⃣️训练模型--train e ↓

🍬数据预处理

🍃 数据集介绍

🍃 特征缩放

🍃 数据读取

🍃 Python读取图片

🍬 网络模型

🍃 机器学习

🍃 NN

🍃CNN

🍃GAN

🍃Detection

🍃Segmentation

🍃 IQA

🍃 FSL(小样本)

🍃 3D

🍃 Anomaly Detection

🍬 损失函数:详细见AICore中的loss

🍬 优化器

🍃 BP求导

🍬 评价指标

🍬 网络可视化

🍃权重、梯度、特征图可视化

🍃网络结构

🍬 Tips

3⃣️测试模型--train e↔︎test e ↓

4⃣️ 微调/迁移学习

  • 🐾 随机网格搜索
  • 🐾 超参数优化

5⃣️ 压缩&部署

🍬 压缩

🍬 数据后处理

🍃ONNX

🍃 TVM

🍃TensorRT

🍬 网站部署-BS

🍬 嵌入式设备

🍬 视频处理与流媒体

🍃 基本概念

🍃 DeepStream

readme's People

Contributors

fusimeng avatar felixfu520 avatar

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