CycleGAN tekki làkk bu amul jëkkër

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

1. Ban jafe-jafe bu mag la CycleGAN mëna saafara, te pexe yu njëkk ya melni pix2pix mënu ñu ko saafara?
   • Dafay tekki nataal te soxlawul ñaari mbir yu méngoo balaa ak ginaaw
   • Dafay dox ci CPU mobile
   • Dafay dindi soxla benn done tàggat
   • Ci nataal yu weex ak yu ñuul kese lay dox
2. Lan mooy ñàkka méngoo ci sikl bi?
   • Ni nataal yiy génn yépp dañuy grayscale
   • Tekki ab nataal ci beneen domen bi ak dellu ci jotaat nataal bu njëkk bi
   • Ni kiy xeex mooy jël ndam li
   • Ni generatër yi bokk benn poid
3. Ñaata generatër la CycleGAN di jëfandikoo?
   • Benn
   • ñeent
   • Ñaar
   • Ñatt
4. Ban xeetu tànneef la CycleGAN di faral di jëfandikoo?
   • Benn sigmoid ci kaw nataal bi yépp
   • ab xaajkat ImageNet buñu tàggat bu njëkk
   • Amul benn xeexkat
   • PatchGAN buy xaaj ay patch nataal
5. Lu tax yenn saa yi ñuy yokk ñàkka dàntite ci CycleGAN?
   • Ngir jàppale ci tëye melo bi sudee dugal bi méngoo na ak domen biñ bëgga
   • Ngir gaaw ci tàggat yaram
   • Ngir dindi soxlay xeexkat
   • Ngir soppi nataal yi def ko ay croquis
6. Ci yii, yan ci ñoom mooy wane CycleGAN bu yàgg?
   • Defar mbind ci wax
   • Soppi nataali fas ci nataali zebra
   • Bindu bind ak loxo
   • Komprime fichier wideo
7. Why does a standard CycleGAN use one discriminator for each image domain?
   • Each one estimates the image’s text caption
   • One discriminator identifies the source dataset and the other the author
   • Each discriminator judges whether generated images look realistic in its target domain
   • They replace the two generators
8. How can CycleGAN support synthetic-to-real adaptation for autonomous-driving vision?
   • Generate steering labels from vehicle sounds
   • Replace all road images with segmentation text
   • Identify a driver from a voice recording
   • Translate simulator images toward the visual style of real road scenes without paired matches