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The newest version of EfficientNet v2 achieved better results on ImageNet top-1 accuracy than recently published NFNets, Vision Transformers, etc.
You'll learn about:
✔️ What is a progressive training
✔️ Fused-MBConv layer and novel reward function for NAS
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✅ paper: https://arxiv.org/pdf/2104.00298.pdf
✅ code (yet to be published): https://github.com/google/automl/efficientnetv2
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⌚️ Timetable:
00:00 High-level overview
01:40 NAS review
07:20 Deep dive
15:35 Novel reward
17:34 Progressive training
21:10 Stochastic depth regularization
23:00 Results
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Much love! ❤️
Huge thank you to these AI Epiphany patreons:
Petar Veličković
Zvonimir Sabljic
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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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#efficientnetv2 #neuralarchitecturesearch #rl