How to read a research paper

0:00 if you've ever felt intimidated by Deep learning research papers with their dense mathematical notation and complex code bases this comprehensive tutorial will show you how to effectively understand and Implement Cutting Edge AI research through practical examples using recent papers you'll learn the three essential skills needed to master deep learning research reading technical papers understanding mathematical notation and navigating re research code bases yastin teaches this course he's a published researcher and machine learning practitioner deep learning research might look dting to get into especially if you don't have a strong theoretical background in deep learning it's fast- based full of abstraction and mix advanced math with Advanced programming in this tutorial I'll show you the basic of how to start understanding deep learning research which include the theory the math and the code unfortunately these type of techniques aren't really taught formally and you kind of just need to figure them out on your own for those that don't know me I'm a published researcher and machine learning practitioner who love to teach what we'll learn today is broken down to like three specific skills so you have reading research

1:10 papers understanding mathematical notation within these papers and reading deep learning code bases for this tutorial I'm assuming that you have at least some understanding of what Master learning is about so if you are more an early beginner I do recommend like these uh free code campol to start out they are great we will use two recent paper at throughout the TR to give you like some good practical examples namely qh Adam which is a type of deep learning Optimizer and the segment Ting model which is a segmentation model from meta I will use that last one at the end of this tutal to Showcase like how we can summarize the finding of a deep learing research paper using the three skills we learned by the end of this tutorial you should be better prepared to read pretty much any deep learning paper so let's start with how to read the research paper and understand the theory The Cutting Edge deep learning research is usually packaged into these papers these article are a bit atypical in the sense that they are very information dense the general idea is that by studying an article you should be able to reproduce fully an experiment which by the way is super hard to do so if you want to understand The Cutting Edge

2:19 Theory you need to be able to read effectively a research paper in this section I'll show you my framework to read these in the most like cost efficient manner to start out there are two ways to read a paper depend on your goals the first way is to kind of understand what was done but not in depth usually to use the result of the research or to understand another paper using these results this way of reading rely heavily on trusting that the paper is right it's not too difficult to do if you read the abstract and conclusion of a paper you can get the just a bit it's a bit like knowing roughly what react is doing but being more interested in using it than understanding how it's implementing like a shadow down the second way to read the paper is where people get lost the goal is to understand a research project so deeply that you can reproduce these result in that set up there is little trust and you actually need to understand the

3:04 paper methods this way of reading paper is what I'll be covering today before we start let me preface it with a warning about deining research in general it's a highly empirical field meaning a lot of things get discovered just because they were tried it also mean that whenever reading a deep lining paper you need to understand the context in which it was written most of the stuff used within can be slightly wrong or at least the reasoning for why they worked is wrong be iFly aware of that you will see it's easier to see it with very old deep learning paper with the knowledge that we have currently okay so the full method I use look somewhat like this there's like seven steps I involve like multiple read three of them which is very normal for any research paper paper in general not linear they are kind of a structure with like a lot of interdependency the first step to read a