EfficientNet Paper Walkthrough

[@sethbaer684]

Thank you for doing this walkthrough. Please keep doing these on important papers!

[@ai-interview-questions]

Thanks for simplifying the complexities! Can't wait to delve deeper into this

[@vil9386]

This really helped. Thank you @Aladdin Persson . The first paper that I have understood fully well with your awesome explanation.

[@vasylcf]

Thanks! I like this way of reading papers ) You can read, watch and listen simultaneously )

[@kysonrayden8235]

i guess I'm quite off topic but does anybody know of a good website to stream new tv shows online ?

[@creeddarian108]

@Kyson Rayden lately I have been using Flixzone. Just google for it :)

[@augustinehuxley7934]

@Creed Darian definitely, I've been using Flixzone for since april myself :D

[@kysonrayden8235]

@Creed Darian Thanks, I went there and it seems like a nice service =) Appreciate it!

[@creeddarian108]

@Kyson Rayden glad I could help :)

[@edelweiss7680]

Thanks a lot ! I've first read a Medium article on EfficientNet but it's definitely clearer here :)

[@amineleking9898]

Your videos are gold

[@yasserahmed2781]

NF-nets: look at me, I'm "EfficientNet" now

[@AladdinPersson]

That might be next :)

[@user-yv3cb2hs1u]

So glad that I found this video. It really helps Thanks

[@donkkey245]

Thank you so much for the video. Paper reading+implementation more...also rise the membership support if you need to invest more of your time to make the video...many patriots love contribute more...

[@mehermanoj45]

Dude thanks for karpathy constant, works like a charm👍🏻

[@sonphamkhanh6769]

Very good and clear explanation

[@hackercop]

Thanks for this walkthrough

[@vkmavani7878]

Can you please add time steps so it becomes easy for us to directly focus on some points

[@mrfred675]

Thanks a lot!

[@garikhakobyan3013]

good job. continue this way.

[@adityakane5669]

Waiting for V2 walkthrough!

[@harinkumar1073]

can we expect a paper review of nf-nets soon? 😉

[@gracikk]

Just great!

[@Kenny4PresidentFTW]

Great video! I just dont understand the difference between MBConv1 and MBConv6.

[@sharifzaman2972]

Please upload more paper walk through

[@abhishtsingh6073]

I really wanna know what pdf reader you using here.

[@julianoamadeulopesmoura5666]

Same!

[@frankrobert9199]

great

[@malikhashmat7308]

Thanks for this review!
Just wanted to know are you planning on implementing adversarial attack/defence models?

[@AladdinPersson]

I don't have any experience with this, got any good resource I could look into? Seems interesting

[@malikhashmat7308]

@@AladdinPersson ruclips.net/video/WTM5qd-7fwI/видео.html

[@user-ui5dg3nr3r]

usefull

[@CocoDeSeoul]

i have read this paper and i have tried to implement it. was hard

[@AladdinPersson]

Implementation video coming in ~2 hours

[@CocoDeSeoul]

@@AladdinPersson thank you.

[@mehermanoj45]

@@AladdinPersson 😍😍

[@essamgouda1609]

@@AladdinPersson thank youuuu

[@dolphinextreme48]

The inverted residual blocks looks like depthwise-separable layers to me, or am I not understanding the difference?

[@doodadsyt]

The Inverted residual block makes use of a depthwise separable convolution (DSC) but it also includes expanding the number of features before DSC and adding a skip connection from the start to the end of the block.

[@AK47dev1_YT]

Fantastic :)

[@SAINIVEDH]

When will you be back. Missing from scratch series !!!