The Only Deep Learning Book You Need

Опубликовано: 19 Декабрь 2022
на канале: xvzf

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Description

In this video I review my favorite deep learning book. I like that it covers advanced topics in deep learning and also covers some statistical methods.

Script:

The first thing to notice about deep learning by Ian Goodfellow is a cover. At first glance it looks like a university but on closer inspection you'll see this image is painted with puppies. This book will give any reader a solid foundation on deep learning techniques and vocabulary coming from the statistics side I felt like the vocabulary was a big help for example when a statistician uses the word inference they mean how little n generalizes to begin in deep learning inference is what a statistician would call prediction another example is the word bias in deep learning bias is what statisticians call The Intercept in statistics bias is a non-normal pattern in the residuals so to recap if you're coming from statistics this book is a nice Rosetta Stone this book has one of the best linear algebra reviews I've seen if you feel like there are gaps in your Matrix math chapter 2 would fill those gaps the notation is very standard to what one would see in a college level linear algebra course I was also pleased to see a whole chapter devoted to Monte Carlo methods this is much more my language and was a treat to read they also have a little section on pseudo likelihood which I thought was impressive everything you'd expect to see in a deep learning book is here if the terms rectified linear unit, autoencoders, RNNs, deep Boltzman machines are foreign to you then pick up this book and read through it. it will lay a good foundation!

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