Uploaded July 2021 | Updated September 2026, 1 hour ago

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Tired of struggling your way through Machine Learning research papers?

Latest deep learning models got you feeling down?

Ripping out your hair trying to stack layers?

Losing the plot over…plotting loss?

I hear you. Let’s face it, reading Machine Learning and Deep Learning research papers can be tough. Having a process to systematically break them down makes working through them a whole heap easier. In this video you’ll learn how to do exactly that.

Links Mentioned
Papers With Code: paperswithcode.com
GoodNotes: goodnotes.com
Keras Functional API: keras.io/guides/functional_api

Chapters
0:00 - Introduction
0:39 - 1. Take a Breath
1:28 - 2. Read the Abstract, Conclusion, Data and Results Section
3:43 - 3. Get the Code
5:29 - 4. Isolate How it Was Built
9:49 - 5. Try it Out Yourself
11:36 - Ending

Oh, and don't forget to connect with me!
LinkedIn: bit.ly/324Epgo
Facebook: bit.ly/3mB1sZD
GitHub: bit.ly/3mDJllD
Patreon: bit.ly/2OCn3UW
Join the Discussion on Discord: bit.ly/3dQiZsV

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!