Kediska Turjumaada Sawirka-u-Sawirka Pix2Pix

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Waa maxay nooca xogta tababarka Pix2Pix u baahan yahay?
   • Tusaalooyinka sawir-gelinta-soo-saarka lammaane
   • Wax xog ah haba yaraatee
   • Qoraal kooban oo kaliya
   • Duubabka maqalka ah
2. Waa maxay naqshad-dhaliye uu isticmaalo Pix2Pix?
   • Shabakad cad oo si buuxda ugu xidhan
   • U-Net oo leh xiriiryo boodi
   • Shabakad soo noqnoqota
   • Geed go'aan
3. Muxuu qiimeeyaa takoorka PatchGAN ee Pix2Pix?
   • Sawirka oo dhan waa hal dhibic oo caalami ah
   • Cabbirka faylka sawirka
   • Xaqiiqda dhejisyada sawirada maxaliga ah ee yaryar
   • Waqtiga tababarka
4. Muxuu Pix2Pix ugu darayaa khasaare L1 oo ay weheliso khasaaraha iska soo horjeeda?
   • Si loo yareeyo tababarka ula kac ah
   • Si meesha looga saaro takoorka
   • Si loo abuuro buuq aan toos ahayn
   • To anchor pixelwise and low-frequency fidelity while the adversarial loss encourages sharper texture
5. Waa maxay sababta isku xirka U-Net ay si gaar ah ugu caawinayaan hawlaha tarjumaada?
   • Waxay si toos ah uga gudbaan qaab-dhismeedka la wadaago sida geesaha shabakadda
   • Waxay tirtiraan lakabyada aan loo baahnayn
   • Waxay u beddelaan sawirada qoraal
   • Waxay yareeyaan cabbirka xogta
6. Qaabkee ayaa u fidiyay Pix2Pix si ay wax uga bartaan ururinta sawirada aan la wadaagin?
   • ResNet
   • CycleGAN
   • BERT
   • Word2Vec
7. Why can a PatchGAN discriminator encourage sharper local image texture?
   • It predicts the input labels directly
   • It replaces the generator’s U-Net
   • It judges realism in small image patches rather than only scoring the whole image
   • It computes only global color histograms
8. In Pix2Pix, which part of the objective most directly anchors an output to its paired target image?
   • The learning-rate warmup
   • The GAN’s random seed
   • The PatchGAN receptive-field count
   • The L1 pixel-difference loss