Additional custom callbacks for Weights & Biases
Project description
Weights & Biases Callbacks
wandb-callbacks provides some additional Callbacks for Weights & Biases.
Callbacks currently implemented:
ActivationCallback- visualizes the activations of a layer
- activations are computed for a sample of each class
DeadReluCallback- logs the number of dead relus in each layer
- prints warning if the percentage is higher than a threshold
GradCAMCallback- Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
- produces a coarse localization map highlighting the important regions in the image for predicting the class of the image
Sample Implementation
Can be found in notebooks/sample_implementation.ipynb.
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