Kedis ku xidhan hagaha · Adag Heerka

Kediska Ifafaale Laba Jibaaran

Dib u eeg farcanka labanlaabka ah ee u dhow isdhexgalka iyo sida ifafaale u kala duwanaan karo cabbirka moodeelka, cabbirka xogta, iyo muddada tababarka.

Wadooyinka haga ee la xidhiidhaDhacdo laba-jibbaaran
Su'aal 1 ee 8

Halkee buu khaladka imtixaanku caadi ahaan ugu sarreeyaa qalooca laba-laabashada?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Halkee buu khaladka imtixaanku caadi ahaan ugu sarreeyaa qalooca laba-laabashada?
    • Marka la joogo marinka interpolation halkaas oo moodelku ku habboon yahay dhammaan xogta tababarka
    • Bilawga tababarka oo leh cabbirro yar
    • Kaliya ka dib balaayiin cabbir
    • Khaladka imtixaanku waligii ma gaadho meesha ugu sarreysa; si kali ah ayay u dhacdaa
  2. Maxaa dhacaya si loo tijaabiyo khaladka marka moodelku noqdo mid si weyn loo qiyaaso?
    • Waxay u kacdaa si aan xad lahayn sababtoo ah qalabka xad dhaafka ah
    • Waxay hoos u dhigi kartaa mar kale, inta badan waxay ka hooseysaa ugu yaraan qadiimiga
    • Si sax ah ayay u siman tahay
    • Waxay noqotaa random oo aan la saadaalin karin
  3. In which setting does the cited implicit-bias analysis characterize a minimum-norm solution?
    • Any neural network trained with gradient descent
    • Any model that reaches zero training error
    • A single-hidden-layer linear network under stated gradient-flow and initialization assumptions
    • A model trained without an optimization objective
  4. 'Epoch-wise' laba jibbaarku waxay tilmaamaysaa saamaynta u muuqata shaqo maxay tahay?
    • Tirada GPU-yada la isticmaalay
    • Jadwalka heerka-waxbarasho kaliya
    • Baaxadda tijaabada tijaabada
    • Waqtiga tababarka (tirada xilliyada)
  5. Waa kuwee fikradda qadiimiga ah ee laba-jibbaaran caqabad ku ah?
    • Kala duwanaanshaha U-qaabeeya ganacsiga
    • Dib u faafinta
    • Dheef-shiid kiimikaad
    • Xeerka silsiladda
  6. Yaa ka caawiyay faafinta iyo qaabaynta qalooca laba laabma ee 2019?
    • Newton iyo Leibniz
    • Belkin, Hsu, Ma, iyo Mandal
    • Turing iyo Kaniisadda
    • Kaliya tartamayaasha Kaggle oo qarsoodi ah
  7. Which model families did OpenAI report studying in its deep double-descent experiments?
    • Only decision trees and linear regression
    • Only recurrent speech recognizers
    • Convolutional neural networks, ResNets, and transformers
    • Only graphical game generators
  8. Besides model size and training duration, which axis can also show double-descent behavior?
    • Font size in a report
    • The number of words in a product name
    • The screen resolution of a monitor
    • Training dataset size