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Lookahead iyo Libaax Optimizers Kedis

Waxay hubisaa Lookahead's xawaaraha iyo miisaanka gaabiska ah, cusbooneysiinta xawaaraha ku salaysan calaamada Lion, iyo saameynta xusuusta iyo doorashada heerka-waxbarasho.

Wadooyinka haga ee la xidhiidhaLookahead iyo Libaax Optimizers
Su'aal 1 ee 8

Waa maxay tillaabada xisaabinta ee cusboonaynta miisaanka Libaaxa?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Waa maxay tillaabada xisaabinta ee cusboonaynta miisaanka Libaaxa?
    • Qaadashada calaamada erey ku salaysan dardargelin
    • U qaybinta gradient-ka celceliska orodkiisa oo labajibbaaran
    • Xisaabinta qiyaasta heerka labaad ee Hessian
    • Celceliska miisaanka isbaarooyinka badan
  2. Sidee buu Lookhead u qaabeeyaa hagaajintiisa?
    • Waxay isticmaashaa hal miisaan oo la cusboonaysiiyay laba jeer tillaabo kasta
    • Waxay ilaalisaa miisaan 'dhakhso leh' oo ay cusboonaysiisay koriyaha saldhiga iyo miisaan 'a gaabis ah' kuwaas oo xilliyada qaarkood u dhexeeya iyaga
    • Waxay gabi ahaanba meesha ka saartaa xawliga si ay u badbaadiso xusuusta
    • Waxay tababartaa laba shabakadood oo celcelis ahaan wax soo saarkooda
  3. Sidee baa markii hore loo helay hagaajinta libaaxa?
    • Iyada oo gacanta laga soo saarayo aragtida kobcinta konvex
    • Marka la isku celceliyo waxa cusub ee SGD iyo Adam
    • Iyada oo la adeegsanayo barnaamij toos ah oo calaamad ah oo ka raadinta algorithmizers optimizer
    • Laga soo bilaabo jilitaanka fiisigiska ee dhaqdhaqaaqa walxaha
  4. Marka la barbardhigo Aadan, waa maxay faa'iidada xusuusta muhiimka ah ee libaaxa?
    • Wax gobol ah ma kaydsato haba yaraatee
    • Waxay si otomaatig ah u isticmaashaa miisaan kala badh sax ah
    • Waxay la wadaagtaa xaaladda dhammaan lakabyada
    • Waxa ay ilaalinaysaa hal mar oo kaliya halkii ay ka ahaan lahayd laba kireeyeyaal dawladeed ee Aadan
  5. Muxuu libaaxu caadi ahaan ugu baahan yahay waxbarasho ka yar kan Aadan?
    • Sababtoo ah hawlgalka calaamaduhu wuxuu ka dhigayaa cusbooneysiin kasta lebbis cabbirkeeda, si wax ku ool ah u miisaamaya tallaabada
    • Sababtoo ah ma isticmaasho wax dardar ah
    • Sababtoo ah waxay ka shaqeysaa qaybo waaweyn
    • Sababtoo ah waxay curyaamisaa qudhunka miisaanka
  6. Faa'iidada dhabta ah ee Lookahead waa inay u janjeerto inay samayso tababar:
    • Aad u xasaasi u ah doorashada hyperparameters
    • Aad u deggan oo xoog badan, oo leh gariir yar
    • A tartiib tartiib tartiib tartiib ah toban
    • Aan ku habboonayn Adam ama SGD
  7. Lookahead slow weights are 0 and the fast weights end an inner loop at 8. If alpha is 0.25, where do the slow weights move?
    • To 8, regardless of alpha
    • To −2, away from the fast weights
    • To 2, one quarter of the distance toward the fast weights
    • They remain at 0 because alpha only changes Lion
  8. After Lookahead updates its slow weights at synchronization, where do the fast weights restart?
    • At the original random initialization
    • At the final validation predictions
    • At the previous slow weights before interpolation
    • At the updated slow-weight values for the next inner loop