Deep Learning: A Crash Course (2018) | SIGGRAPH Courses
2024 ж. 1 Мам.
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Deep learning is a revolutionary technique for discovering patterns from data. We'll see how this technology works and what it offers us for computer graphics. Attendees learn how to use these tools to power their own creative and practical investigations and applications.
Originally presented at SIGGRAPH 2018.
PRESENTER
Andrew Glassner, The Imaginary Institute
LEARN MORE
ACM DIGITAL LIBRARY: dl.acm.org/doi/10.1145/330536...
ACM SIGGRAPH: www.siggraph.org/
i fall asleep with youtube on and now im waking up to this lmao
lmaoo same
Swear to God same
Same lol
Indeed! Me too
me too
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How can I get in touch with your financial consultant?
Just take a look at her full name on the internet. She is well known so it shouldn't be hard to find her.
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If I had to choose only 1 video to watch on Deep Learning on KZhead I would, without a doubt, pick this video. Superb teaching style.
i watched food Theory and sleept away know im 3hours inside deep learning
Beautiful
I literally had the same thing happen to me 😂
Same thing
YOO SAME BUT I SHARED THIS VID TO LIKE 30 RANDOM PEOPLE
im 1:47:57 learning very deeply this morning
I opened the video by mistake and now I can not leave. Good presentation!
Imagine if all profs were these enthusiastic...
Thank you Professor, for saving the time to browse the topics individually online
Quality stuff, great content and way of presenting it, one of the best tech lectures I've seen on youtube.
There is always an answer to every question that pops into my head! Can't thank you enough 👏🏼
SIGGRAPH please don't delete these videos Bcuz i had seen that there are no videos of last year Please don't delete it as Its valueable to new peoples, this lectures motivates us to study more about COMPUTER GRAPHICS I'm sure that we new peoples will give SIGGRAPH more researchers in few years Please support cummunity by giving them valueable lectures 😇😇😇
I legit just found video. it's legit. Hope they stay up.
Thanks for sharing the insight that they disappear - will download this one with some PP dowloader :) - BTW the guy was talking for over 3 hours without water - thats a lot! @@SolarBang
The concepts are so clearly explained i like that. It was really nice to watch Great content, awesome explanations, great job. the best explanation of deep learning I've seen
Thank you so much! It helped me get a general idea about the basic ideas of deep learning.
Woooww He just compiled my entire semester classes un one course of 3 hours, amazing. Great and Thanks for that.
single best thing I‘ve seen on the internet today (after watching 3 hours there wasn‘t much time left to browse the others).
one day will be able to swim and travel in deep learning sea
sarcasm made me press back
@@macdeep8523 oooooooooooo jooooooooo jooooooooooooooooj jj j j j j jjjj jjz 5kooooooookokoooookook ³3upoooooooooooooooo
Jun k😊
Thank you Andrew & SIGGRAPH for sharing this excellent introductory lecture on deep learning!
Thank you Andrew Glassner for sharing this information, translating it, preparing it and metaphorizing it. Thank you for speaking up about ethics as well.
Wow. Amazing. Thank you - great lecture. I never suspected that a 3+ hr. lecture could be so interesting!
expected**
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999999999999999999999999999999999999999999999999999999999999999999999999999999999999999dd
Excellent talk!This Course inspired me to buy the books and continue learning with this outstanding teacher.Thank you ver much
Definitely one of the best lectures on Deep Learning. Andrew's teaching style and delivery makes this otherwise hard subject so easy to understand. The concepts are so clearly explained that even the first time audience can grasp the bulk of it if not all. It was really exhilarating to watch and listen to this whole lecture and dispel any misconceptions about certain techniques that may have been misconstrued or unintentionally taught wrong by others. I definitely learned a lot from it. Thank you sir for making this video available to all and to learn from.
Wow that was an awesome talk. The host was very entertaining and informative to listen to.
so good, this course. way better than what I had in Uni.
informative talk and well presented thanks for uploading :)
Thank you/ This was great info/ Keep on creating .
The presentation is so explanatory and simple.
خظ..ح.كححح... .
Felt like a 3.5 hour Ted Talk... that guy is such a rare, damned good, CS teacher... wow.
Really good lecture. One of the best ones I have ever seen. Good tempo, good voice, great insight. My regards to Andrew Glassner.
Loved the convulsion explanation and the face explanation. So clear, so simple to understand. Awesome video, thank you! :)
the first time i heard about convolution, i went into convulsion
*My takeaways:* 1. Artificial Intelligence (AI) vs Machine Learning (ML) vs Deep Learning (DL) <a href="#" class="seekto" data-time="276">4:36</a> 2. What is intelligence <a href="#" class="seekto" data-time="387">6:27</a> 3. Deep learning applications <a href="#" class="seekto" data-time="425">7:05</a> 4. Unsupervised learning, reinforcement learning and supervised learning <a href="#" class="seekto" data-time="664">11:04</a> 5. Training and test, with examples <a href="#" class="seekto" data-time="988">16:28</a> 6. Classification, k-mean classifier <a href="#" class="seekto" data-time="1865">31:05</a> 7. Neurons <a href="#" class="seekto" data-time="2135">35:35</a> 8. Fully-connected layers <a href="#" class="seekto" data-time="2445">40:45</a> 9. Activation functions, softmax <a href="#" class="seekto" data-time="2776">46:16</a> 10. Loss, cost <a href="#" class="seekto" data-time="3132">52:12</a> 11. Gradient descent <a href="#" class="seekto" data-time="3345">55:45</a> 12. Backpropagation <a href="#" class="seekto" data-time="63">1:03</a>:30 13. Learning with gradient descent, learning rate, convergence <a href="#" class="seekto" data-time="67">1:07</a>:46 14. Data <a href="#" class="seekto" data-time="79">1:19</a>:36 15. Dimensionality reduction, Principal Components Analysis (PCA) <a href="#" class="seekto" data-time="81">1:21</a>:22 16. Evaluating accuracy: across-validation <a href="#" class="seekto" data-time="87">1:27</a>:30 17. Overfitting and underfitting, regularization (e.g. dropout) <a href="#" class="seekto" data-time="108">1:48</a>:10 18. Convolution, with examples <a href="#" class="seekto" data-time="121">2:01</a>:55 19. Autoencoder, latent variables, variational autoencoder, denoising <a href="#" class="seekto" data-time="153">2:33</a>:00 20. Reinforcement learning, Q learning <a href="#" class="seekto" data-time="166">2:46</a>:38 21. Recurrent Neural Networks <a href="#" class="seekto" data-time="174">2:54</a>:25 22. Generative adversarial networks (GANs), deep dream, style transfer <a href="#" class="seekto" data-time="178">2:58</a>:22 23. Ethics <a href="#" class="seekto" data-time="200">3:20</a>:46
That interesting
@@leixun Thanks for timestamps. Im not sure it is a takeaway
Imk
Imk
@@adiflorense1477 9ijjk9lmmk08om
Andrew wrote a book on raytracing and that made that subject matter accessible to many. Now this and recent SigGraph Quantum Tutorial are a great contribution to science of deep learning and quantum computing!
I loved your presentation. It is the best explanation of deep learning I've seen. Thank you for sharing all your hard work and knowledge.
Great stuff. Thanks a lot for sharing.
Great presentation: well done!..
Amazing session, you explain very well. I was struggling with Deep learning concept but after watching your video I am feeling more confident now. I would love to follow your more video regarding Machine learning.
excellent overall coverage, great lecture
nice way of teaching especially changes of voice and very informative but time is short to cover these topics effectively
This is the kind of deep learning explanation I have been looking for. It is simple yet deep. It is one of the best videos I found online to explain to a friend what singularity actually means and is all about. Thank you professor for sharing.
Really awesome explanation for convolution.
<a href="#" class="seekto" data-time="171">2:51</a>:00 the discounting is actually more about introducing a notion of time-value to your rewards (+some mathematical convenience) rather than one of uncertainty.
Actually, it's both. Because a remembered event will be farther in the future, it therefore has less uncertainty to that state's reward. This becomes very relevant in the case of scarce rewards, and long plays, where even though an event is very far in to the future, the machine will still pursue it as the most optimal choice. (Delayed gratt)
I see this very helpful for analyzing every pattern
Woow...preaching Deep Learning
Very nice presentation. it is worth to listen!
this is a pretty great class.
I fell asleep and when I woke up, this video was playing on my computer. The time on the video was <a href="#" class="seekto" data-time="69">1:09</a>:14 I watched it for nearly a whole 10 minutes before I realised this wasn't a video about stocks and shares.
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Very nice video and awesome explanation. Thank you so much.
Thank you! Lovely presentation
This is pure gold. Connected so many scattered nodes for me, and added many more. Worth watching over and over.
Wonderful course! Thank you.
This is one of those really good teachers. He really makes it look easy(ishh??)
Fabulous lacture Thank you for uploading
Very good course & great speaker! Thanks
Great presentation: well done!
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Second part <a href="#" class="seekto" data-time="108">1:48</a>:53
k fold cross validation is not for preserving precious data....it's diving the data into traning and testing portions. For imbalalnced data, we use techniques like SMOTE...pls correct if I am wrong
i was sleeping the whole time and i heard everything word by word thing is deeply engraved in my brain now
Great content, awesome explanations, just the right tempo and a brilliant orator. The most awesome introduction that I stumbled upon. Lots of kudos!
Very Good Lecture sir
Deep Learning makes us learn, relearn, and unlearn new things. This video is very very useful.
i am loving this guy
Im currently training an AI on context switches which is a major bottle neck in CPU latency, Ive been working on this for about a year Im getting better and better and figuring it out thats why I love these vids onnx models are the easiest to work with a compatibility
Thank you/ This was great info/ Keep on creating . Thank you Andrew & SIGGRAPH for sharing this excellent introductory lecture on deep learning!
Thanks a lot for uploading this video!! :-)
I finally found the "Deep Learning" treasure course I was looking for for many weeks. Excellent in all aspects. While I was about to abandon learning deep learning, due to heavy use of all sorts of mathematics by other contributors, I am finally back on track to pursue this amazing subject. It's amazing how the concepts of deep learning were introduced without the need for any kind of mathematics. Well done Prof. Thank you.
Great stuff. Thanks for that
Great Presentation!
interesting.. I fell asleep and had some cool dreams revolving around the CCNA and woke up to this.. nice!
Great presentation: well done! Thank you so much! It helped me get a general idea about the basic ideas of deep learning.
Thank you Professor, for saving the time to browse the topics individually online
Superb lecture
Thank you for sharing this informative video! 😺🖐
i kow that i passed out o the couch, when i got 3 hours into this o.o
Starts @ <a href="#" class="seekto" data-time="100">1:40</a>
fell asleep and woke up to this
I don't know how i got here... I do not have a science background at all but this is so interesting and well-explained! Even for someone like me who has zero experience & knowledge in this field and topics!
I loved all the misc pictures added among the slides, like the socker football in the globe stand. Is there a set of those?
Great presentation! Thanks. Was there music in the background? ;) I haven't noticed or heard anything!
Interesting, I learned much
omg he explain the meaning of regretion (and a bunch of other things that teachers sometimes don't tell) watch this lecture worth alot
Regression* You make it sound regretful lol
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My neuron finally understood what the neuron networks do, thanks a lot
I really enjoyed the lighted hearted approach of this talk to explaining really 'deep' concepts in deep learning.
L lol l
@@babajaveedb you you have have have fun at church and get get get
@@babajaveedb you guys ruturut
Trur you
Tututrurtuturt
Being a nuerodyvergent person while dating a nuerodyvergent person and both having semi traumatic childhoods basically forced my mind open to the higher levels in order to stay together and I feel like a much better person ever since. This put video is the best explanation I've ever seen keep it up man.
this video helpful for us
Great.
Starts off playing Steely Dan, good taste ;)
I keep getting woken up by this video though, it's annoying.
thanks a lot!
Been watching, listening, and paying attention to all of predictions and forecasts since early Covid. He hasn't disappointed yet 👌
Well said! I am also here to learn how to invest after listening to a lady on tv talk about the importance of investing and how she made 7 figures in 3 months, somehow the video taught me nothing and left me even more confused, I'm a newbie and I'm open to ideas on how to invest for retirement
@@BrunoLuke lookup KRISTIN GAIL CUNNINGHAM , this is her name online, she's the real investment prodigy since the crash and has helped me recover my loses
@@MarcusFred-wn3iv Despite the economic crisis and the rate of unemployment now is the best time to invest
@@BrunoLuke Investment now will be wise but the truth is investing on your own will be high risk. I think it will be best to get a professional👌
@@MarcusFred-wn3iv Thank you, Going through her profile on her webpage out of curiosity, and surprisingly she seems proficient. I appreciate this.
Thank you so much! It helped me get a general idea about the basic ideas of deep learning. Great presentation: well done!
Oh, just a hour ago I bought a book (Deep Learning, A Visual Approach: No Starch Press; Illustrated edition (June 29, 2021)) by this guy:
Thank you
Brilliant talk, learned a lot!
l
was cleaning then went to go take a break i bet my pc was enjoying this video
Steely Dan and ML. A combination tough to beat.
Does he have his talk about bias on here too?
I love how he explains everything clearly. I wonder how this material holds up after the release of large language models. Hopefully these core concepts are still relevant.
Thank you autoplay
<a href="#" class="seekto" data-time="166">2:46</a>:42 -Reinforcement learning
This is a gift 🎁
I woke up to this playing in the middle of the night
Ok
the ok is worse just for the record....I'm dropping a stinky half eaten tuna here @@atetraxx
I like the beginning at 2.50 Built on Open Source 😊
<a href="#" class="seekto" data-time="122">2:02</a> -convolution
Awesome,very nice friend👌👍
of all the jokes in this course, the four joke a 30 min mark was epic lol
Lmaooo i was following along with him in the middle of my sleep😂😂😂
😜 I fell asleep, then woke up and it was still playing.