Пікірлер

• 
  @DorinIonescuКүн бұрын

  It looks like Deep Learning is begging for help from Symbolic AI

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  @shklbor5 күн бұрын

  Thanks for uploading this very nice lecture series! I think one detail is missing here. The precision is calculated as Acc_TP / (Acc_TP + Acc_FP) whereas recall is calculated as Acc_TP / Total_Positives_in_Dataset. Total_Positives_in_Dataset has to be calculated from the dataset ground truth and is not present in the table (false negatives in denominator can't be calculated directly)

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  @ghost20058 күн бұрын

  Is this guy on drugs?

• 
  @oldkips16 күн бұрын

  Disappoined

• 
  @aedkd17 күн бұрын

  Thank you so much

• 
  @hyunkim217218 күн бұрын

  Vidal-10M is great dataset. Many thanks.

• 
  @100deep100121 күн бұрын

  what a brilliant lecture!

• 
  @chriswang2464Ай бұрын

  Nice talk!

• 
  @elvenkimАй бұрын

  thanks for sharing! Most comprehensive info on GroundingDINO so far!

• 
  @ahmedelgabry2780Ай бұрын

  a7a

• 
  @md.nurulabsur39282 ай бұрын

  Very insightful!

• 
  @RajKumar-bl8ox2 ай бұрын

  Thank you.

• 
  @mohammedalsubaie35122 ай бұрын

  11:00 don’t you think that the input for the forward process is only the HR image with added noise ?

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  @emirhandemir38722 ай бұрын

  Oh dear god! Finally. I found someone explaining this topic better than anyone!

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  @travelwithus37323 ай бұрын

  Dear Sir, I wanted to ask about the Pyramids - can you explain more about why the small-scale objects are easy to detect in the highest-scale image, isn't it hard to detect as this is the original image where small objects are hard to see or far?

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  @ayushagrawal33373 ай бұрын

  Can you please provide the code for your above GAMO implementation

• 
  @rasoulameri56543 ай бұрын

  👍👍👍

• 
  @amansinghal59083 ай бұрын

  Amazing video! Please make more. Make one on mPLUG-Owl: Revolutionizing Dialogue Research with Large Language Models

• 
  @alexroscoe57633 ай бұрын

  Hello! Your presentation was extremely interesting, and I feel fortunate that you uploaded this video today. I am a bachelor's student in computer science, with a keen interest in implementing machine learning and deep learning technologies in the medical field. Would it be possible for you to share the PowerPoint slides from this video? Having access to it would make it much easier for me to review the content. Thank you!

• 
  @beyondinteractive17604 ай бұрын

  Thank you for sharing this series

• 
  @choudhary_champ4 ай бұрын

  The lecture is so precise and well-defined! Prof, Could you please share some tips on how to start a research paper writing?

• 
  @chriswang24644 ай бұрын

  I hate indian accent. How on earth are there so many indian professors in our country?

• 
  @eugeniakenne28654 ай бұрын

  Promo*SM

• 
  @chrislee17744 ай бұрын

  Does input data have to be sorted for the memory to be useful? It's not obvious to me how the short-term memory is altered.

• 
  @fintech13784 ай бұрын

  steve altman?

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  @AtiShah3694 ай бұрын

  Thank you for making video on federated learning..please make one detail video on federated learning based mobile keyboard prediction.

• 
  @moaazataya44244 ай бұрын

  Thanks a lot

• 
  @amortalbeing5 ай бұрын

  thanks

• 
  @yousefhesham26085 ай бұрын

  great but we want a list for full project and thanks a lot

• 
  @amortalbeing5 ай бұрын

  very good presentation. thanks. could you also update us on how the results truned out ? also can you kindly share the slides?

• 
  @amortalbeing5 ай бұрын

  Heres a tip for non-english speakers: The prefix "intra-" comes from Latin and means "within" or "inside". So, when you see "intra-" in a word like "intra-class", it refers to something happening within a single class. On the other hand "inter-" means "between". For instance, "inter-class" similarity refers to the similarity happening between two or more different classes. Intra = within the same class inter = between classes

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  @amortalbeing5 ай бұрын

  Thanks a lot

• 
  @ldg55d5 ай бұрын

  this is the most clear explanation of the dreambooth i’ve ever seen! thanks for the sharing

• 
  @amortalbeing5 ай бұрын

  Thanks a lot enjoyed especially the conclusion part!

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  @saisureshmacharlavasu31165 ай бұрын

  @38:51

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  @jihochoi_cs6 ай бұрын

  Thank you so much!

• 
  @AhmedAboElyazeed986 ай бұрын

  Are there any implementations available? I want to have hands-on experience with these approaches

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  @prakhargupta17456 ай бұрын

  Very poor explanation

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  @suleymanerim21196 ай бұрын

  Thanks for sharing, it is very well explained

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  @AkhilPulidindi7 ай бұрын

  Can I get source code for this

• 
  @arkhahehe7 ай бұрын

  This actually saved my life thank you forever

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  @agusmulyanangopreknologiC587 ай бұрын

  great presentation

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  @paulhowrang7 ай бұрын

  wow..i wonder that non pathetic people are doing tonight ... worst way to spend time listening to this load of crap lecture.....AI/Data Science/ML is an idiom of relatively younger generation...this is a fact ... these old hags have lost the train .... we can se the average age of AI professors at stanford/UCB/CMU etc... all relatively much younger

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  @josuer.delarosa87327 ай бұрын

  Mmmmm

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  @ahmedalsharkawy12297 ай бұрын

  Sympathy for the colonial state and its people? A shocking moment when you are trying to learn computer vision but start with an introduction that lacks any "vision".

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  @mahirjain88988 ай бұрын

  thank you for this

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  @user-ln5eb1hb8h8 ай бұрын

  Weighted average should be divided by sum of all weights

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  @doyleBellamy038 ай бұрын

  I've looked through a lot of sources for an explanation of marr-hildreth, and I think this is the best one. Thank you.

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  @user-yu7sp6hm8o8 ай бұрын

  no audio

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  @khivasara0078 ай бұрын

  Audio?