Interpret & Visualize Your Image Classification Models| Python Tutorial|
In this video i show how you can use the shap library in python to interpret your image classification models. Most deep learning neural networks are hard to interpret and in image classifier, you cannot understand which feature of image played a role in determining the output.
In this tutorial, i interpret the ResNet 50 deep learning model that is trained on the imagenet classification problem.
Orignal Code Documentation: https://shap.readthedocs.io/en/latest/example_notebooks/image_examples/image_classification/Multi-class%20ResNet50%20on%20ImageNet%20%28TensorFlow%29.html
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Видео Interpret & Visualize Your Image Classification Models| Python Tutorial| канала Nachiketa Hebbar
In this tutorial, i interpret the ResNet 50 deep learning model that is trained on the imagenet classification problem.
Orignal Code Documentation: https://shap.readthedocs.io/en/latest/example_notebooks/image_examples/image_classification/Multi-class%20ResNet50%20on%20ImageNet%20%28TensorFlow%29.html
Do subscribe to the channel and like the video if you want more videos like this!
You can connect with me on my socials:
Linkedin: https://www.linkedin.com/in/nachiketa-hebbar-86186515b/
My 2nd Youtube Channel: https://www.youtube.com/channel/UCJBz6f1QtbNrDYwR-AUcSjA
My medium account(I publish blogs here): https://nachihebbar.medium.com/
Видео Interpret & Visualize Your Image Classification Models| Python Tutorial| канала Nachiketa Hebbar
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