What Wandb Meaning, Applications & Example
Platform for tracking and visualizing AI experiments.
What is Wandb?
Wandb (Weights and Biases) is a popular tool for tracking experiments, visualizing metrics, and managing machine learning workflows. It helps researchers and developers monitor model training , compare different runs, and share results with collaborators.
Key Features of Wandb
- Experiment Tracking: Logs and tracks hyperparameters, metrics, and other model training details.
- Visualization: Provides visualizations of loss curves, accuracy, and other metrics to compare model performance.
- Collaboration: Enables easy sharing of experiment results and visualizations with teams or the broader community.
- Model Versioning: Tracks and saves model versions, making it easier to revisit previous experiments and results.
Example of Wandb Usage
In a deep learning project, Wandb can be used to track training metrics such as loss and accuracy, visualize how models perform across different epochs, and log hyperparameters like learning rate and batch size to improve future model training.