Have you ever used SHAP with image data?

In this #Python tutorial, we explore how to:
- Fine-tune ResNet-18 using #PyTorch
- Evaluate the model using MSE and scatter plots
- Interpret the model using #DeepSHAP
- Correct the model through better data collection
- Discuss further improvements using image augmentation

No paywall link: https://towardsdatascience.com/using-shap-to-debug-a-pytorch-image-regression-model-4b562ddef30d?source=friends_link&sk=7eb3016839186f1ba2a6f1f105f8ff64

#DataScience #MachineLearning #DeepLearning #SHAP #IML #XAI

Have you ever used SHAP with image data?

In this #Python tutorial, we explore how to:
- Fine-tune ResNet-18 using #PyTorch
- Evaluate the model using MSE and scatter plots
- Interpret the model using #DeepSHAP
- Correct the model through better data collection
- Discuss further improvements using image augmentation

No paywall link: https://towardsdatascience.com/using-shap-to-debug-a-pytorch-image-regression-model-4b562ddef30d?source=friends_link&sk=7eb3016839186f1ba2a6f1f105f8ff64

#DataScience #MachineLearning #DeepLearning #SHAP #IML #XAI

Have you ever used SHAP with image data?

In this Python tutorial, we explore how to:
- Fine-tune ResNet-18 using #PyTorch
- Evaluate the model using MSE and scatter plots
- Interpret the model using #DeepSHAP
- Correct the model through better data collection
- Discuss how image augmentation could further improve the model

#DataScience #MachineLearning #Python #SHAP #IML #XAI

No paywall link: https://towardsdatascience.com/using-shap-to-debug-a-pytorch-image-regression-model-4b562ddef30d?source=friends_link&sk=7eb3016839186f1ba2a6f1f105f8ff64