前言

Weights & Biases 学习笔记.

Weights & Biases is the machine learning platform for developers to build better models faster. Use W&B’s lightweight, interoperable tools to quickly track experiments, version and iterate on datasets, evaluate model performance, reproduce models, visualize results and spot regressions, and share findings with colleagues.

文档地址:https://docs.wandb.ai/

操作系统:Ubuntu 22.04.2 LTS

Home

文档地址:https://docs.wandb.ai/

笔记 pdf 地址:https://cdn.jsdelivr.net/gh/LuYF-Lemon-love/susu-docs-pdf/wandb/01-W&B Docs _ Weights & Biases Documentation.pdf

Quickstart

文档地址:https://docs.wandb.ai/quickstart

笔记 pdf 地址:https://cdn.jsdelivr.net/gh/LuYF-Lemon-love/susu-docs-pdf/wandb/02-Quickstart _ Weights & Biases Documentation.pdf

W&B Tutorials

文档地址:https://docs.wandb.ai/tutorials

笔记 pdf 地址:https://cdn.jsdelivr.net/gh/LuYF-Lemon-love/susu-docs-pdf/wandb/03-W&B Tutorials _ Weights & Biases Documentation.pdf

Track experiments

文档地址:https://docs.wandb.ai/tutorials/experiments

笔记 pdf 地址:https://cdn.jsdelivr.net/gh/LuYF-Lemon-love/susu-docs-pdf/wandb/04-Track experiments _ Weights & Biases Documentation.pdf

Visualize predictions

文档地址:https://docs.wandb.ai/tutorials/tables

笔记 pdf 地址:https://cdn.jsdelivr.net/gh/LuYF-Lemon-love/susu-docs-pdf/wandb/05-Visualize predictions _ Weights & Biases Documentation.pdf

Tune hyperparameters

文档地址:https://docs.wandb.ai/tutorials/sweeps

笔记 pdf 地址:https://cdn.jsdelivr.net/gh/LuYF-Lemon-love/susu-docs-pdf/wandb/06-Tune hyperparameters _ Weights & Biases Documentation.pdf

Track models and datasets

文档地址:https://docs.wandb.ai/tutorials/artifacts

笔记 pdf 地址:https://cdn.jsdelivr.net/gh/LuYF-Lemon-love/susu-docs-pdf/wandb/07-Track models and datasets _ Weights & Biases Documentation.pdf

PyTorch

文档地址:https://docs.wandb.ai/tutorials/pytorch

笔记 pdf 地址:https://cdn.jsdelivr.net/gh/LuYF-Lemon-love/susu-docs-pdf/wandb/08-PyTorch _ Weights & Biases Documentation.pdf

结语

第一百零七篇博文写完,开心!!!!

今天,也是充满希望的一天。