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。