Explainability with W&B
An overview of Explainable AI that works with Weights & Biases
Created on September 12|Last edited on September 12
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XGBoost for Interpretable Credit Models
Model documentation for Stakeholders and Validation
Interpretability in Deep Learning With Weights & Biases: CAM and Grad-CAM
This article reviews how Grad-CAM counters the common criticism that neural networks are not interpretable.
Interpret any PyTorch Model Using W&B Embedding Projector
An introduction to our embedding projector with the help of some furry friends
Explainability in NLP
Natural Language Processing
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