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Feature Engineering with Image Data | Aims, Techniques & Limitations 2 года назад


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Feature Engineering with Image Data | Aims, Techniques & Limitations

Did you know, you can also do feature engineering with image data? It allows you to extract the most important aspects from an image and simplify your computer vision problem. We explore the aims and limitations of various methods including: cropping, grayscale conversion, RGB channel selection, intensity thresholds, edge detection, and color filters. Remember to like, comment, and share this video with your fellow deep learning enthusiasts. ADO is the ultimate destination for in-depth tutorials on IML/ XAI and algorithm fairness. Subscribe so you don't miss any future videos :) *NOTE*: You will now get the XAI course for free if you sign up (not the SHAP course) SHAP course: https://adataodyssey.com/courses/shap... XAI course: https://adataodyssey.com/courses/xai-... Newsletter signup: https://mailchi.mp/40909011987b/signup Read the companion article (no-paywall link): https://medium.com/data-science/featu... Medium:   / conorosullyds   Twitter:   / conorosullyds   Mastodon: https://sigmoid.social/@conorosully Website: https://adataodyssey.com/ #DeepLearning #AI #DataScience #MachineLearning #ComputerVision #TechTutorials

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