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:
GoodNotes:
Keras 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:
Facebook:
GitHub:
Patreon:
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