3 Machine Learning Projects For Beginners (Highly visual) | 2021
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In this video, I'll recommend you 3 beginner-friendly machine learning projects. It'll probably take you a week to finish each one of these.
You'll learn about:
✔️ beginner-friendly ML project ideas
Note: I mention 3 versions of the YOLO model in the video. What I meant were YOLO models developed by the original author, recently v4 and v5 have been developed but not by the original author.
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✅ Create new MNIST digits: https://github.com/gordicaleksa/pytor...
✅ PASCAL VOC: https://pjreddie.com/projects/pascal-...
✅ YOLO v3: https://github.com/ultralytics/yolov3
Note: You can use the PASCAL dataset I linked as it has less than 500 MBs but you can in general just download 50/100/1000 images from some dataset and develop your small image search engine.
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⌚️ Timetable:
0:42 Project #1: 50 shades of MNIST
2:22 Confusion matrix matters
3:10 Add new MNIST digits (manually/using GANs)
4:15 Project #2: Toy image search engine
6:04 Project #3: Object Detection Pipeline (YOLO)
7:19 Level up your projects
Credit for the burger image:
https://towardsdatascience.com/find-s...
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💡 The AI Epiphany is a channel dedicated to simplifying the field of AI using creative visualizations and in general, a stronger focus on geometrical and visual intuition, rather than the algebraic and numerical "intuition".
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#machinelearning #beginnerprojects #deeplearning