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In this video, I talk about how I work on my deep learning projects on the example of the transformer which I've recently open-sourced.
You'll learn about:
✔️ Snippets of my personal story
✔️ How I think about approaching a new project
✔️ Problems I encountered developing the transformer
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✅ My transformer implementation: github.com/gordicaleksa/pytor...
✅ The Annotated Transformer blog: nlp.seas.harvard.edu/2018/04/0...
✅ Original paper: arxiv.org/abs/1706.03762
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⌚️ Timetable:
0:00 Open-sourcing original transformer and why
3:00 Creating great projects takes time
5:40 My time management
9:00 My story and embracing failures
12:05 Overview of the transformer project
14:03 Data and task definition
15:57 Training loop
20:10 Problems I encountered
21:44 Beam search fun
23:10 BucketIterator fun
25:35 Optimizing things to speed up the loop
26:25 Translating from English to German and vice versa
30:00 Hardware requirements
30:47 Wrapping things up
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If these videos, GitHub projects, and blogs help you,
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The AI Epiphany ► / theaiepiphany
One-time donation:
www.paypal.com/paypalme/theai...
Much love! ❤️
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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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#transformer #attention #deeplearning