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README

# Pytorch模型训练实用教程 Image text


📢:《PyTorch实用教程》(第二版)已开源,欢迎阅读:https://tingsongyu.github.io/PyTorch-Tutorial-2nd/

📢:《PyTorch实用教程》(第二版)已开源,欢迎阅读:https://tingsongyu.github.io/PyTorch-Tutorial-2nd/

📢:《PyTorch实用教程》(第二版)已开源,欢迎阅读:https://tingsongyu.github.io/PyTorch-Tutorial-2nd/

第二版新增丰富的深度学习应用案例推理部署框架,包括CV、NLP和LLM的十多个实战项目,以及ONNX和TensorRT的教程。

1.简介

本代码为教程——《Pytorch模型训练实用教程》中配套代码;

《Pytorch模型训练实用教程》可通过如下方式获取:

  1. https://github.com/tensor-yu/PyTorch_Tutorial/tree/master/Data

  2. QQ群: 四群:854620826

2.环境配置

代码在以下两种环境测试过:

  1. win10 64位 + python3.5 + pytorch==0.4.0

  2. mac + python3.6 + pytorch==0.4.1/ pytorch==1.0.0

第一步 安装各依赖包:

pip install -r requirements.txt

第二步 手动安装pytorch及torchvision:

均选择无gpu版本进行安装,进入官网选择相应的指令进行安装 https://pytorch.org/get-started/locally/

3.问题反馈

若发现任何问题和改进意见,请您随时联系我。

联系方式:yts3221@126.com

读者qq群:

​ 一群:671103375 (已满)

​ 二群:773031536 (已满)

​ 三群:514974779 (已满)

​ 四群:854620826(已满)

​ 五群:1021300804

4.修改记录

0.0.5: 1. 1.6小节勘误,将36*36改为40*40; 2. 2.3小节删除注释; 3. 修改权值初始化杂谈中的理解错误; 4. 全文代码缩进。


如果本教程对你有帮助😀😀,请作者喝杯茶吧🍵🍵🥂🥂

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Stargazers over time

Stargazers over time

Core symbols most depended-on inside this repo

validate
called by 4
Code/utils/utils.py
show_confMat
called by 4
Code/utils/utils.py
unpickle
called by 2
Code/1_data_prepare/1_1_cifar10_to_png.py
my_mkdir
called by 2
Code/1_data_prepare/1_1_cifar10_to_png.py
gen_txt
called by 2
Code/1_data_prepare/1_3_generate_txt.py
normalize_invert
called by 1
Code/utils/utils.py
zero_param
called by 1
Code/3_optimizer/3_2_optimizer/4_load_state_dict.py
makedir
called by 1
Code/1_data_prepare/1_2_split_dataset.py

Shape

Method 25
Function 15
Class 9

Languages

Python100%

Modules by API surface

Code/utils/utils.py11 symbols
Code/4_viewer/6_hook_for_grad_cam.py10 symbols
Code/main_training/main.py4 symbols
Code/4_viewer/2_visual_weights.py4 symbols
Code/3_optimizer/3_2_optimizer/4_load_state_dict.py4 symbols
Code/2_model/2_finetune.py4 symbols
Code/1_data_prepare/1_3_mydataset.py4 symbols
Code/3_optimizer/3_2_optimizer/3_state_dict.py3 symbols
Code/1_data_prepare/1_1_cifar10_to_png.py2 symbols
Code/4_viewer/5_Show_ConfMat.py1 symbols
Code/1_data_prepare/1_3_generate_txt.py1 symbols
Code/1_data_prepare/1_2_split_dataset.py1 symbols

Dependencies from manifests, versioned

Keras-Applications1.0.6 · 1×
Keras-Preprocessing1.0.5 · 1×
Markdown3.0.1 · 1×
Pillow5.2.0 · 1×
Werkzeug0.14.1 · 1×
absl-py0.6.1 · 1×
astor0.7.1 · 1×
cycler0.10.0 · 1×
gast0.2.0 · 1×
grpcio1.16.0 · 1×
h5py2.8.0 · 1×
kiwisolver1.0.1 · 1×

For agents

$ claude mcp add PyTorch_Tutorial \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact