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

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@aladdinpersson

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:  U-NET Paper Walkthrough

✅ Dataset used: https://www.kaggle.com/c/carvana-imag...

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✨ Free Resources that are great:
NLP: https://web.stanford.edu/class/cs224n/
CV: http://cs231n.stanford.edu/
Deployment: https://fullstackdeeplearning.com/
FastAI: https://www.fast.ai/

💻 My Deep Learning Setup and Recording Setup:
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GitHub Repository:
https://github.com/aladdinpersson/Mac...

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⌚️ 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

• #education
• #pytorch_image_segmentation
• #pytorch_unet_from_scratch
• #pytorch_semantic_segmentation