Guide-yakabatana mibvunzo · Zviri nyore Nhanho

Mibvunzo Yekudzidza Yakadzama

Edza multilayer network, kuverenga parameter, nonlinearities, kudzidziswa maringe nekufungidzira, generalization uye dudziro yakarongedzerwa yemhando zvibodzwa.

Nzira dzekutungamira dzinoenderanaKudzidza Kwakadzika
Mubvunzo 1 ye 8

Chii chinonzi "zvakadzama" chinotsanangura mumuenzaniso wekudzidza kwakadzama?

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  1. Chii chinonzi "zvakadzama" chinotsanangura mumuenzaniso wekudzidza kwakadzama?
    • A neural-network architecture ine akawanda layers pakati pekuisa nekubuda
    • Muenzaniso unonzwisisa misoro padanho rakadzama remunhu
    • Sisitimu yakadzidziswa chete pamaseti makuru asina kujairika
    • Nzira inovimbisa yakakwirira basa kururama
  2. Netiweki ine 2 zvinopinza, zvakavanzwa zvikamu zve3 uye 2 mayunitsi, uye 1 kubuda. Nekurerekera kune chimwe nechimwe chakavigwa/chinobuda, mauremu mangani uye akarerekera aripo?
    • 14
    • 20
    • 18
    • 23
  3. Sei uchishandisa nonlinear activation pakati pezvikamu zvakavanzika?
    • Vanoshandura yese yakavanzika unit kuita yakanyorwa kudzidziswa muenzaniso
    • Vanovimbisa kuti network ichaita generally kune isingaonekwe data
    • Pasina ivo, kurongedza mutsara shanduko ichiri kuburitsa mutsara shanduko
    • Vanobvisa kudiwa kwezviyero zvakadzidzwa
  4. Munguva yekufungidzira, chii chinowanzoitika kune akadzidziswa modhi paramita?
    • Vanodzidziswa zvakare mushure mekuiswa kwega kwega
    • Vanotsiviwa nemavara ari mukukurumidza
    • Dzinoiswa patsva pamberi pechinobuda chimwe nechimwe
    • Iyo modhi inovashandisa kugadzirisa chinongedzo pasina kunyatsochivandudza
  5. Modhi inoenderana nemienzaniso yayo yekudzidziswa zvakanyanya asi inoita zvisizvo pane inofananidzwa yakabatwa-kunze data. Izvi zvinoratidza muenzaniso upi?
    • Kuwedzeredza
    • Underfitting
    • Good generalization
    • Chivimbiso chekuti mavara ndeechokwadi
  6. Sei uchifananidza network yakadzama ine yakapfava yekutanga pamienzaniso yakabatwa?
    • Nekuti akareruka modhi anogara achipfuura neural network
    • Kuona kana kuomeswa kwakawedzerwa kunovandudza basa racho zvakakwana kupembedza mari yaro inoshanda
    • Nekuti mamodheru akadzama haagone kuongororwa pane data nyowani
    • Kuti udzivise kutarisa maitiro ekukanganisa
  7. A classifier anodzosa zvibodzwa zve0.9. Izvo chete zvinosimbisa chii?
    • Kufanotaura kwacho kwakarurama 90% yenguva pabasa rega rega
    • Iyo modhi yakagadziridzwa pane deployment data
    • Icho chibodzwa chemuenzaniso, kwete humbowo hweyakagadziriswa 90% mukana wekurongeka
    • Iyo sisitimu inonzwisisa muenzaniso ne90% chokwadi
  8. Kuwedzera mamwe matinji chete kunoratidzei nezvekunzwisisa kana kubatsira kwemuenzaniso?
    • Kuti inonzwisisa zvinopinza semunhu
    • Kuti ichapfuura imwe nzira iri nyore
    • Kuti kukanganisa kwayo hakuna ngozi
    • Hapana choga; ongorora pamusoro pebasa rinotarisirwa uye mienzaniso yakakodzera