Neural Networks for Noobs: It's Not as Complicated as You Might Think

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It seems that everything is powered by AI nowadays! Of course, it isn't really Artificial Intelligence, that is a marketing term, what we are talking about is Machine Learning (ML) and techniques like Neural Networks (NN). These terms can seem a bit daunting, but actually it isn't as complex as you might think. Let me explain.

#garyexplains

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Thank you for explaining such a tricky and complicated subject. FYI; Kelvin isn't measured by degrees, it is just (Kelvin) .

lesonen

Great tutorial, Gary! Would love to see more advanced tutorials

vincentgo

As always, very clear explanation! You certainly know how to teach! ❤️👌🏽

honza_kriz_bass

Please continue with more along this line. Thanks!

jlawson

Thank you Gary ! I just started learning python for ML

LoyalSlime

More of this please!!! Next please work on picture recognition then voice recognition..

YohanesCandrajaya

YES! More please. Very clearly explained. Demo was very helpful. Thanks!

quaternion-pi

Hi Gary,
Great explanation in layman terms, please continue posting more videos on Machine Learning, such as activation functions, how to choose the initial weight and bias most importantly how the output of one neuron actually used as an input to another neuron. These are the concepts that look understandable on high-level but can't able to understand how it actually works, it would be great if you post videos on these topics to get use of it and really help for beginners like me.
Thank you

manoaj

Hi thank you for making, I studied whole course in my Masters, nobody has explained me as simply as you. Thank you so much and please make more videos on this topic.

iJigarThakkar

Thanks this is the best basic intro to ML I've seen on youtube. I like how you show people how to use TF in such a short time period bypassing things we can learn later to just get to the juicy stuff and see this computer figure out the formula itself, via learning :) I guess this is a single dimensional example? More neurons are used for multivariable problems? I heard that deep learning for AI generated artwork uses something like 500 dimensions? This stuff is exciting. Time to re-learn Linear Algebra (been 30 years), some calculus and along with probability and statistics.. Thankfully I already know how to program.

jenniferw

Program:

(Mac) Install:

pip3 install tensorflow numpy

Running:

% python3 fah2kel.py
-50 (exp: 227.594) [[227.61485]]
0 (exp: 255.372) [[255.3721]]
50 (exp: 283.15) [[283.12933]]
These are the layer variables: [array([[0.5551449]], dtype=float32), array([255.3721], dtype=float32)]

yksw

Great introduction. I learned NN the hard way, there was no TensorFlow or whatsoever library back then so we write everything from scratch (and it was easy, at least for 1 layer perceptron, even with multiple output neurons). Honestly, I think that's a better way of learning NN because you know how to build one as opposed to just how to use one. Of course, in practice, DRY principle always applies. It's just if you want to be over the top, it can't be used as for something new, you're not repeating anybody.

leledumbo

Great explanation..Plz make another one with some complex calculations. Like pictures.

uzairm

I have studied electrical engineering but I enjoyed learning the working of neural n/w s, these ai based program can be implemented in scada apps, or controlling grid power fluctuations, surges, scope is enormous.

TheSahil-mvix

I recently watched your "Raspberry Pi Supercomputer Cluster" video and then this one. Now I'm wondering if you combined these two technologies would you assign one or a set number of neurons to each core available in your "Supercomputer" cluster? Combining these two technologies and demonstrating a somewhat complex task would be a cool video. Great content as always, Cheers!

JohnUllrey

Everybody wants more Gary.. so do I 👍🤒 please explain further ✌️

itwaspunk

Where is MARK ? xD... Nice first steps intro neural network explanation ! Thank you Gary !

rtype

Thanks Gary. Wonderful explanation. Please make a video of a neural network for images.

Vishnug_

Very well explained
Your videos are getting better
we need more such videos

kishores

*GARY!!!*
*Good Evening Professor!*
*Good Evening Fellow Classmates!*

MarkKeller

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