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PyTorch Image Segmentation Tutorial with U-NET: everything from scratch baby

Semantic segmentation with U-NET implementation from scratch.

You'll learn about:
✔️How to implement U-Net
✔️Setting up training and everything else :)

Original paper: https://arxiv.org/abs/1505.04597
My paper review: https://youtu.be/oLvmLJkmXuc

✅ Dataset used: https://www.kaggle.com/c/carvana-image-masking-challenge

GitHub Repository:
https://github.com/aladdinpersson/Machine-Learning-Collection

✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson

❤️ Become a Channel Member:
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▶️ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/aladdin-persson-a95384153/

PyTorch Playlist:
https://www.youtube.com/playlist?list=PLhhyoLH6IjfxeoooqP9rhU3HJIAVAJ3Vz

⌚️ Timestampo:
0:00 - Introduction
1:03 - Model from scratch
22:20 - Dataset from scratch
29:50 - Training from scratch
39:48 - Utils (almost) from scratch
50:10 - Evaluation and Ending

Видео PyTorch Image Segmentation Tutorial with U-NET: everything from scratch baby канала Aladdin Persson
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2 февраля 2021 г. 19:00:05
00:51:54
Яндекс.Метрика