Shusen Wang

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@Lonely_trader 2 күн бұрын

Great explanation

@MVaralakshmi-f9d 10 күн бұрын

Excellent and outstanding.... Thank you so much. Please add Time complexities for all operations

@santanubanerjee5479 18 күн бұрын

What does it mean when the gradient propagates back to the CNN as well? What is changed in the CNN?

@santanubanerjee5479 18 күн бұрын

I think I need to relook CNN parameters!

@x-Factor461 Ай бұрын

Thank you for this video. It's awesome

@yarasultan3433 Ай бұрын

nice

@AbhishekSinghSambyal Ай бұрын

Which app do you use to make presentations? How do you hide some images/arrows in the slides like an animation? Thanks.

@stracci_5698 2 ай бұрын

Are the siamese networks not performing a fine-tunning? when the model weights are learned to perform the task?

@stracci_5698 2 ай бұрын

This was very clear, thank you!

@impulse1712 2 ай бұрын

What an explanation in detail,loved the way you explain things , thank you very much sir.

@parmanandchauhan6182 2 ай бұрын

Great Explanation.Thanqu

@ronalkobi4356 3 ай бұрын

Wonderful explanation!👏

@haroon180 4 ай бұрын

This is hands down the best explanation of Siamese networks on KZbin

@DrAIScience 4 ай бұрын

How data A is trained? I mean what is the loss function? Is it only using encoder or both e/decoder?

@Hshjshshjsj72727 4 ай бұрын

Its 2024 please stop using a potato as a microphone

@MicheleMaestrini 5 ай бұрын

Thank you so much for this series of lectures and slides. I am doing a thesis on few-shot learning and this has really helped me understand the fundamentals of this algorithm.

@eugenetsiukhlov7127 5 ай бұрын

Absolutely gorgeous! Thank you so much!

@chawkinasrallah7269 5 ай бұрын

The class token 0 is in the embed dim, does that mean we should add a linear layer from embed to number of classes before the softmax for the classification?

@SpenceMan01 5 ай бұрын

12:51 Just had to say that your support set image of the two hamsters aren’t hamsters. Those are guinea pigs.

@kutilkol 5 ай бұрын

this is supposed to be english?

@gemini_537 6 ай бұрын

I feel like autoencoder can be used for the classification task and might work better. Because autoencoder can map the input into a latent space which captures the patterns.

@supersonics9196 6 ай бұрын

please explain deletion when you have time, especially on how to memorize the pointers along the search path

@supersonics9196 6 ай бұрын

very clear explanation, professor

@topgunjinhyung 6 ай бұрын

nice explanation. thanks

@loading_700 6 ай бұрын

Best lecture about Few-shot learning! Thank you

@AiDrug 6 ай бұрын

Thank you so much! Great explanation

@ai_lite 6 ай бұрын

great expalation! Good for you! Don't stop giving ML guides!

@geoskyr966 6 ай бұрын

so the training set is much bigger than the support set ? and i only use the support set to help with the classification of query images ?

@vipinsou3170 7 ай бұрын

Is there any implementation of this architecture bro??,I can't find.

@vinitsunita 7 ай бұрын

Best Explanation of skiplist

@AjinkyaGorad 7 ай бұрын

Softmax associates while learning, and identifies while inference

@adityapillai3091 7 ай бұрын

Clear, concise, and overall easy to understand for a newbie like me. Thanks!

@sapttt853 8 ай бұрын

very clear nice

@diamond2869 8 ай бұрын

Thank you!

@mohammedal-qudah9518 8 ай бұрын

Thank you. I like the explanation

@stewartmuchuchuti20 8 ай бұрын

Awesome. Well explained. Well simplified.

@arindamjain7536 8 ай бұрын

Best Video on this topic so far!

@alex-m4x4h 8 ай бұрын

at 19:26 the number of weights should be m*t+1 or am i getting it wrong ? because we have c0 as well

@user-wr4yl7tx3w 9 ай бұрын

This is an excellent presentation

@이정민영어 9 ай бұрын

이해가 잘됩니다. 감사합니다.

@drelvenkee1885 9 ай бұрын

The best video so far. The animation is easy to follow and the explaination is very straight forward.

@mahdiyehbasereh 10 ай бұрын

The best lecture about transformers that I've seen 🙏🏻🙏🏻🙏🏻🙏🏻🙏🏻

@joshithmurthy6209 10 ай бұрын

Very good explanations thank you very much

@jaylenzhang4198 10 ай бұрын

Thank you, very explicit explanation. 讲的太好了老师！感谢！

@mahdiyehbasereh 10 ай бұрын

That was great and helpful 🤌🏻

@konstantinrebrov675 10 ай бұрын

Nihao for the algorithms lecture, Mr. Wang.

@fridericusrex9812 7 ай бұрын

Wtf? "Nihao" doesn't mean what you think it does.

@fridericusrex9812 7 ай бұрын

Racist pig

@thecheekychinaman6713 11 ай бұрын

The best ViT explanation available. Also key to understand this for understanding Dino and Dino V2

@sevovo 11 ай бұрын

CNN on images + positional info = Transformers for images

@SandaruwanFonseka 11 ай бұрын

Excellent !

@BeytullahAhmetKINDAN 11 ай бұрын

that was educational!

@Peiying-h4m 11 ай бұрын

Best ViT explanation ever!!!!!!

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