Neural Networks Explained in 5 minutes

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Information Neural Networks Explained in 5 minutes

Title	:	Neural Networks Explained in 5 minutes
Lasting	:	4.32
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Views	:	329 rb

Number 4 ❤
Comment from : @edc6700

BRO ANOTHER LEVEL OF EDITING HOW COULD YOU WRITE IN CORRECT DIRECTION FOR VIEWERS AND IN OPPOSITE DIRECTION IN YOUR PRESPECTIVE IS IT ANY EDITING OR AN HIDDEN TALENT OF YOURS
Comment from : @TANUJ-tanuj-r9m

Thanks, indeed
Comment from : @bogalegelaye289

No waves and no sharks would result in a "Let's go surfing" 😂
Comment from : @FF-yq7db

Please don't write anymore
Comment from : @saithantluangachenkual1708

Great
Comment from : @philipjones-l1i

Wow
Comment from : @philipjones-l1i

Is it just me or does he look like olle gunner who used to play and coach man united
Comment from : @Jazzy180

I might be an idiot Because I still don’t understand anything about it
Comment from : @weiqiangchen5398

Sorry I'm heading over to Zara's video
Comment from : @jweitzenheimer

Happy new year sir 🎉brI am from to India , i have completed computer science and engineering but, I want to work artificial intelligence,and deep learning , you are suggesting any prefferd any book and ya youtube channel naam tell me
Comment from : @Crazy-h4h

Heavy weights
Comment from : @Scott-ff2oe

I don't understand why minus 3, can you explain it again to me?
Comment from : @Jo-wv3bz

Never thought I would need to learn from Toni Kroos about Neural Networks before my finals but here we are
Comment from : @rickkar6789

Most Aussie/New Zealand thing I think I have ever witnessed is weighing the quality of the waves heavier than whether or not there are sharks out there
Comment from : @jakemacisaac7899

Can you recommend any books about the topic "Artificial Neural Networks" for beginners ?
Comment from : @mertcancelik8961

I just learned about artificial brains (pretty much) in five minutes Wow
Comment from : @DiamondCuber9944

So it's basically trying to simulate the way the brain processes data
Comment from : @RedVRCC

Lebsack Corners
Comment from : @BronteJack-o3l

Thank you This is really great and explained the actual nuances very clearly to understand
Comment from : @chellamsankaran7209

There isn't already a symbol to "hat" that is " ^ " ?? Why write the symbol's full name???
Comment from : @SirPetten_Physicist

This is incredible
Comment from : @ahmadjaradat3011

Why the videos are mostly garbage Because they don't really fully explain why it works
Comment from : @xtiooplus

is the example of wind surfing based on a perceptron or on a more complex neural network?
Comment from : @ABDERRAHMENFIRASBENHMIDENE

I would have thought that the presence of sharks were probably a bigger consideration than the quality of the waves but perhaps that's just me
Comment from : @leonclements

My worlds have collided Martin is now helping me on my AI journey AND providing me with interesting information on beer brewing experiments Awesome!
Comment from : @hikerdean2674

Like no 5K
Comment from : @R-S1-t9t

incredible bro
Comment from : @kiyoutakaayanokouji3701

He did not explain anything!
Comment from : @igorp6831

Ooooooh my God it's the homebrew guy
Comment from : @dubhaltachmcsweeney7593

Very well done
Comment from : @researchtech4881

Sharks you said? Sharks are always a 5 But yeah otherwise good quick intro
Comment from : @softiceable

Wow he literally wrote y hat :p instead of making hat on top of y
Comment from : @abeerhamid

Lack of sharks is definitely more important than the waves in my (non-surfing) opinion
Comment from : @patrickneff7846

Thanks sir
Comment from : @YoosufAhamed-q5u

Very good sgort video But your voice occasionally drops to inaudible level
Comment from : @CorlissAyaz

why is my beer guy on this side of the algorithm???
Comment from : @medic5150

This presenter, Martin Keen, embodies Einstein's quote "If you can't explain it simply, you don't understand it well enough" Keen certainly understands AI and is a master at explaining things simply
Comment from : @katflea

i won't be attending my applied Ai lectures cuz ma man does it better !
Comment from : @pretty_n_nasty6284

How its connected to graphs
Comment from : @adityamaurya8092

Bro make it six things Activation functions are important and you haven't mentioned them
Comment from : @loathsomebrute

How do neural networks help computers recognize patterns?
Comment from : @umerjunaid6956

A very poor explanation of Neural Networks
Comment from : @frankfortino1405

Is IBM still a thing?
Comment from : @EngineeringFun

Hi I have a question regarding the threshold used in the equation to calculate the yhat value What is a threshold and why did you choose 3 specifically? Is it related to the number of factors taken into consideration? Thanks
Comment from : @SathiraWijeratne

Are those "neurons" simple chips that transfer and process the information?
Comment from : @ruslanmamedaliyev3912

Is not like human brain brMy brain functions different of what you are explaining nowbrConcord effect i interrupt
Comment from : @urimtefiki226

absolutely fun to learn from you, big thank you!
Comment from : @monome3038

Writing from back side showcases an evidence of his talent
Comment from : @saikatkarmakar6633

Good explanation, and yeah i have subcribed, thanks
Comment from : @surajsawant5229

In neural work, can weights be negative values?
Comment from : @SuzyZou1998

I dont understand what the threshhod value is referring to for example the 3
Comment from : @SuzyZou1998

Thanks for this video You held my attention for the full duration!
Comment from : @AaronProgZ

Only 45 comments under MIT video is a sin I need to get addicted to this staff
Comment from : @Julius-db1ph

It would take years of hard training for me to be able to write backwards as the IBM dude
Comment from : @alvaroduranmartinez9519

A lot was hidden behind 'cost function' and 'gradient descent' which left me feeling like the kernel of understanding was incomplete
Comment from : @scene2much

amazing
Comment from : @alexdorand

Good, but some parts were very poorly explained and rushed You can't just say "we leverage supervised learning on labelled datasets" without explaining and expect people to understand 🤣
Comment from : @WillyJunior

I normally watch this guy do homebrew videos and now my mind is now blown
Comment from : @JamesHand-h8c

isnt the threshold 5 ?
Comment from : @davidmwenebatu2447

Thank you so much for this the regression example has really helped me understand how decisions are made in AI
Comment from : @kasulealex9036

So… if you trained your language prediction model on, say, academic libraries instead of Twitter you might get a more reliable tool? brLike a medical assistant trained purely on peer-reviewed medical libraries? Is anyone doing that?
Comment from : @Cranky_Crone

another not useful video Copy and paste
Comment from : @dariovicenzo8139

thank you
Comment from : @samrasoli

Interested in applying ANN to generate synthetic data to feed and calibrate an options pricing model which incorporates stochastic volatility as a project so thank you for this brief low-level introduction video to ANN's
Comment from : @codyfintech

Thanks
Comment from : @fislendesign

I, as a neural network, look at this video and think, 'Yes, this is what we've always talked about!
Comment from : @NeuralDiaries

Is it possible to take individuals in to training and test samples instead of observations when training the ML models?
Comment from : @Roblox_AmeilaPlays2

how is he writing backwards????
Comment from : @tanujsingh533

simple and precise Thanks
Comment from : @sevararavshanova3863

What markers are you using ?
Comment from : @edutechnology6835

I WANT IT UNDER 50 SECONDS AND NO BODY GOT TIME FO THIS
Comment from : @link6563

I think iam going to use that formula for making decision on my daily activity
Comment from : @r_bp1240

Thank you !brHow did you come up with -3 as the threshold ?
Comment from : @dominicmazvimavi6066

I was far too distracted thinking about the cons of the speaker having to write backwards Looks cool, but is mostly illegible :)
Comment from : @ChrisBence