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How to Read Deep Learning Paper as a Software Engineer
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Deep learning papers can look daunting to read.
Especially if you don't have a strong theoretical background in machine or deep learning.
Some papers can be so dense with jargon, formulas, and magical-looking results that you might feel you are missing 10 years' worth of background knowledge to even start looking at the title.
In this video, I’ll show you how I read most deep learning papers easily, even for new deep learning subfields.
# Table of Content
- Introduction: 0:00
- Step 1 Get External Context : 1:44
- Step 2 First Casual Read : 2:46
- Step 3 Fill External Gap : 3:56
- Step 4 Conceptual Understanding : 4:24
- Step 5 Code Deep Dive : 5:36
- Step 6 Method and Result Slow Walk : 6:13
- Step 7 Weird Gap Identification : 7:40
- Conclusion : 8:12
Enjoy everyone, btw I've used some of these footage from other Youtubers in the video:
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Follow Me Online Here:
___
Have a great week! 👋
Especially if you don't have a strong theoretical background in machine or deep learning.
Some papers can be so dense with jargon, formulas, and magical-looking results that you might feel you are missing 10 years' worth of background knowledge to even start looking at the title.
In this video, I’ll show you how I read most deep learning papers easily, even for new deep learning subfields.
# Table of Content
- Introduction: 0:00
- Step 1 Get External Context : 1:44
- Step 2 First Casual Read : 2:46
- Step 3 Fill External Gap : 3:56
- Step 4 Conceptual Understanding : 4:24
- Step 5 Code Deep Dive : 5:36
- Step 6 Method and Result Slow Walk : 6:13
- Step 7 Weird Gap Identification : 7:40
- Conclusion : 8:12
Enjoy everyone, btw I've used some of these footage from other Youtubers in the video:
----
----
Follow Me Online Here:
___
Have a great week! 👋
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