Mashoma-Shot Yekudzidza Quiz

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

1. In an N-way K-shot classification episode, what does K count?
   • The number of classes
   • Labeled support examples per class
   • All parameters in the model
   • The number of optimization epochs
2. Kana chimiro chikuru chemutauro chichiita mu-chinyorwa-chishoma-pfuti kudzidza kubva mukuchimbidzo, chii chinoitika kune huremu hwayo?
   • Iwo akakwenenzverwa zvishoma pamienzaniso inokurumidza
   • Ivo vanoiswa patsva kune basa-rakananga chekutarisa
   • Vanogara vasina kushanduka; mienzaniso chete inogadzirisa kufanotaura
   • Iwo akaenzana nemuenzaniso embeddings
3. Ndeupi mutsauko wakakosha pakati zero-pfuti uye mashoma-pfuti kukurudzira?
   • Zero-pfuti inopa hapana yakashanda mienzaniso; vashoma-pfuti inopa mashoma
   • Zero-pfuti inoshandisa modhi diki pane mashoma-pfuti
   • Zero-pfuti inogara ichiita zvirinani pane mashoma-pfuti
   • Zero-pfuti inoda yakanyorwa data yekudzidziswa nepo mashoma-pfuti asingadaro
4. How can prior learning contribute to a few-shot task?
   • It guarantees every arbitrary demonstration yields the intended rule
   • It requires copying each example as every final answer
   • It necessarily retrains all network weights during prompting
   • It can supply useful learned patterns or representations for interpreting the small support set
5. Ndeipi inotsanangura metric-yakavakirwa shoma-pfuti nzira senge prototypical network?
   • Inonyora zvinyorwa zvemuenzaniso mudura rekutsvaga
   • Inogadzira mienzaniso yekugadzira kusvika yava nezviuru
   • Inoenzanisa sampuli itsva neavhareji yekumisikidzwa kwemienzaniso mishoma yekirasi yega yega uye inotora iri pedyo
   • Inoshandisa kusimbisa kudzidza kubva mumhinduro dzevanhu
6. Murapi anoona kuti kungorongedza mienzaniso mune mashoma-pfuti nekukurumidza kunoshandura huchokwadi. Izvi zvinoratidzei?
   • A hardware bug muGPU
   • Izvo zvishoma-kupfura kuita kunogona kuve nehanya kune muenzaniso kurongeka uye fomati
   • Kuti iyo modhi yakawandisa kune iyo test set
   • Kuti zero-pfuti zvaisaita
7. A class has embedded support points (0,0) and (2,0). What arithmetic-mean prototype does the stated prototypical method form?
   • (2,0)
   • (0,2)
   • (2,2)
   • (1,0)
8. Which distinction defines support and query roles in the original prototypical-network episode?
   • Support labels construct class prototypes; separate query items evaluate classification
   • Query labels must be copied into every support prototype
   • Support items contain no labels by definition
   • The two sets must always contain exactly the same sampled examples