Neural Network Fundamentals (Part1): Input and Output

preview_player
Показать описание

Рекомендации по теме
Комментарии
Автор

I recently purchased your book. Your book is very nice and so is your lecture. Thanks a bunch.

KayYesYouTuber
Автор

Jeff, thank you. These tutorials are fantastic!

ArrayPro
Автор

Hello Jeff! Thank you very much for such a nice Neural Network Fundamentals series. I have noticed that you have represented input data range as (-1, 1) or (0, 1) exclusive, whereas it should be inclusive, i.e. [-1, 1] or [0, 1]

viktoriakaramysheva
Автор

very well-explained for a beginner like me..keep up the work!

achmdz
Автор

A nice portable array which scans the infinite spectrum of large integers is most practable

discosucks
Автор

how to we determine the optimal number of hidden layers?

chd
Автор

I started with CNN and I was wondering how other data that's not image data fit this model. See what I did there is very helpful

StevenSmith
Автор

Thanks for the lecture.


Can I take samples from 1 to 4, and then predict the 7th sample (multi-step ahead), and same for 2 to 5 for predicting 8th sample? Can do like this for three step ahead prediction?

asadrasheed
Автор

What are the prerequisite mathematical topics needed for Machine Learning and Neural Network understanding.

john_rambo_
Автор

How does a neural network determine the output to a given input?

owaisali
Автор

I figure you could limit the amount of data by using integers, -100 to 100 etc.

tankrag
Автор

Anybody knows of a tutorial video that goes into the actual algorithm ? It must be the 1000th video I watch that explain the concept but not the algo.

randomrandom
Автор

Looks pretty cool. Do you still have the free ebook of making neural nets in c#? If not no problem.

Roshkin
Автор

I still think people should not make the distinction between perceptrons and support vector machines. The latter thing is a perceptron as well, training is just defined differently.

lolkartes
Автор

Hi, thanks for explanation, great video. Is it possible to use other ranges reather then just -1 to 1 or 0 to 1 or scaling inputs to these ranges ? Because sometimes, you don't know the range of your input. Thanks.

AmerZavlan
Автор

do you think i can make an ai that will learn from my inputs for a year and then repossess my shell while i just switch 'me' off, in that way this is suicide in the most careful manner, nothing around me changes after i am switched off.

BBowiec
Автор

you definitely need a tablet:D but u make great videos. good job

migomat
Автор

You sounds like lennard in the big bang theory xD

MaxiMixeren
Автор

Dear sir, I am working on neural networks for emotional sensing can you help in same. Please share your email id so I can get connect with you

AnilMali
Автор

OH GOD! you are painfully slow man. I am a beginner, but even I find it excruciatingly hard to keep up with that snail pace. Your only good part is you covered what i wanted to know.. which could have been done in 1-2 min btw

amitjuneja