Webinar: Deep into Sweeps: Tips & Tricks for Optimizing Hyperparameters

Publish your model insights with interactive plots for performance metrics, predictions, and hyperparameters. Made by Andrea Pessl using Weights & Biases
Andrea Pessl
At this webinar we explored the space of your possible models. We went deep into W&B's Sweeps to discuss tips & tricks for optimizing hyperparameters.
Our Deep Learning Educator, Charles Frye discussed how to:
- Pick your own distribution for inputs, specify logic, and use early stopping.
- Visualize which hyperparameters affect the metrics you care about.
- Save money with Sweeps as it keeps only the best performing runs running.

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💡The session was recorded. Reach out to us if you'd like to rewatch!