Master ML Papers without Losing Your Sh*t

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: https://paperswithcode.com/ GoodNotes: https://www.goodnotes.com/ Keras Functional API: https://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: https://bit.ly/324Epgo Facebook: https://bit.ly/3mB1sZD GitHub: https://bit.ly/3mDJllD Patreon: https://bit.ly/2OCn3UW Join the Discussion on Discord: https://bit.ly/3dQiZsV Happy coding! Nick P.s. Let me know how you go and drop a comment if you need a hand!