Neural Network Architectures & Deep Learning

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This video describes the variety of neural network architectures available to solve various problems in science ad engineering. Examples include convolutional neural networks (CNNs), recurrent neural networks (RNNs), and autoencoders.

Follow updates on Twitter @eigensteve

This video is part of a playlist "Intro to Data Science":

This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company

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Does anyone else feel weird when he says Thank You at the end? He just gave me a free, high-quality, understandable lecture on neural networks. Man, thank *you*!

mickmickymick

Youtube's recommendation algorithm is becoming self-aware...

teslamotorsx

I don't know why youtube decided I needed that little course, but I'm glad that it did now.

farabor

I just found your channel as a suggestion from a 3Blue1Brown video. I subscribed instantly, easily explained, thanks.

RolandoLopezNieto

forget neural networks, this guy figured out that it's better if you stand behind what your presenting instead of in front of it. mind blown

chris_jorge

I am addicted to your series of lectures for the last three months. your "welcome back" intro looks like a chorus to me. thank you!

Savedbygrace

You really simplify the stuff in a way that has me feel enthusiastic to learn it. Thank you.

theunityofthejust-justifyi

steve brunton idk who u r before watching this. but this presentation style of a glass whiteboard w/ image superimposed is the best way ive ever seen someone teach tbh. thank u at least for that. but more importantly this actually helped me understand the beast of neural nets a little more and hopefully be more prepared when our new ai overlords enslave us at least we will know how they think

PhoebeJCPSkunccMDsImagitorium

This is the best short intro to this topic I've seen. Thanks!

elverman

Thank you,
I've always seen the term neural networks generalized and always thought of it as probably a bunch of matrix operations. But now I know that there are diverse variations and use cases for them

brian_c_park

Steve, you are the first person I have ever seen describe an overview of neural networks without paralyzing the consciousness of the average person.
I look forward to more of your lectures, focused in depth on particular aspects of deep learning.
It is not hard to get an AI toolkit for experimentation. It is hard to get a toolkit and know what to do with it.

My personal interest is in NLR (natural language recognition) and NLP (natural language programming) as applied to formal language sources such as dictionaries and encyclopedias.
I look forward to lectures covering extant NLP AI toolkits.

Sincerely,

John

johnwilson

This was massively helpful as an intro! When my question is just "yes but how does this ACTUALLY work", you either get pointlessly high level metaphors about it being like your brain, or jumping straight into gradient descent and all the math behind training. A+ video, thanks.

dantescanline

Hey I just wanted to say thank you for making this video. I found it really helpful!
I particularly enjoyed your presentation format, and the digestible length. About to watch a whole bunch more of you videos! :)

Jorpl_

These were most productive 9 minutes. Great explanation on the architectures.

KeenyNewton

Sir your deep learning videos are the only ones on Youtube I take seriously.

XecutionStyle

Thank you for your video!
Seeing your example for principal values decomposition made neural networks much clearer to me than anything else I had seen till now.
It allowed me to connect this to SVD-based linear modeling I used almost 10 years ago to create simplified models of visual features seen in fluid dynamics.
I did not expect how much easier this suddenly seemed when it connected to what I already knew.

ArneBab

Awesome concise high level explanation! Thank you

husane

Simple perfect enjoyable expaining of DNNs. Thanks for sharing!

easylearn

Amazing program... I love the thing he's drawing on that projects his diagrams.

josephyoung

Amazing video and explication, focusing on key points is very interesting for such sciences, thank you a lot and keep doing that !

lucasb.

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