Image Classification with Attention
Follow this tutorial to learn what attention in deep learning is, and why attention is so important in image classification tasks. We then follow up with a demo on implementing attention from scratch with VGG.
A Data scientist on a quest to make machine smarter and more human-like.
Follow this tutorial to learn what attention in deep learning is, and why attention is so important in image classification tasks. We then follow up with a demo on implementing attention from scratch with VGG.
In this tutorial, we look at various methodologies that facilitate and aid the interpretation of several computer vision models, including LIME, SHAP, Grad-CAM, Guided Grad-CAM, and Expected Gradients.
This tutorial seeks to eliminate much of the difficulties that come with data storytelling in the world of Machine Learning. Readers can expect to finish the article with an understanding of how to use the available tools in Python to create interpretable ML projects on platforms like Gradient.