# pytorch-get-started

**Repository Path**: chatopera/pytorch-get-started

## Basic Information

- **Project Name**: pytorch-get-started
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-01-23
- **Last Updated**: 2025-02-07

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# pytorch-get-started
Get started with PyTorch

* Windows
* Python 3.11
* GPU

## Install Deps

```
pip install -r requirements.txt
```


## Run

Many code snippets are stored in `src`, to run these codes, one can execute as below.

```
cd src
python 001.using_the_multipretrained_weight_api.py
```

# Tutorials

- [x] [Tensor 基本操作1 unsqueeze, squeeze, softmax | PyTorch 深度学习实战](https://blog.csdn.net/samurais/article/details/145244874)
- [x] [Tensor 基本操作2 理解 tensor.max 操作，沿着给定的 dim 是什么意思 | PyTorch 深度学习实战](https://chatopera.blog.csdn.net/article/details/145297647)
- [x] [Tensor 基本操作3 理解 shape, stride, storage, view，is_contiguous 和 reshape 操作 | PyTorch 深度学习实战](https://chatopera.blog.csdn.net/article/details/145305367)
- [x] [Tensor 基本操作4 理解 indexing，加减乘除和 broadcasting 运算 | PyTorch 深度学习实战](https://blog.csdn.net/samurais/article/details/145314174)
- [x] [Tensor 基本操作5 device 管理，使用 GPU 设备 | PyTorch 深度学习实战](https://chatopera.blog.csdn.net/article/details/145314362)
- [x] [计算图 Compute Graph 和自动求导 Auto | PyTorch 深度学习实战](https://blog.csdn.net/samurais/article/details/145319886)
- [x] [使用线性回归模型逼近目标模型 | PyTorch 深度学习实战](https://blog.csdn.net/samurais/article/details/145436751)
- [x] [机器学习之数学基础：线性代数、微积分、概率论 | PyTorch 深度学习实战](https://chatopera.blog.csdn.net/article/details/145457385)
- [x] [深度学习里面的而优化函数 Adam，SGD，动量法，AdaGrad 等 | PyTorch 深度学习实战](https://chatopera.blog.csdn.net/article/details/145479603)
- [x] [学习率调整策略 | PyTorch 深度学习实战](https://chatopera.blog.csdn.net/article/details/145488189)