Kedis ku xidhan hagaha · Dhexdhexaad Heerka
Kediska Bilowga Miisaanka
Wuxuu hubiyaa jebinta summiga, taageere soo gelida iyo taageere-baxa, bilowga Xavier iyo He, magdhowga ReLU iyo eexda eber. moodooyinka qoto dheer.
Su'aal 1 ee 8
Waa maxay sababta dhammaan miisaanka oo dhan eber loogu dhigay khalad dilaa ah?
Horudhac su'aal kasta8 su'aalo
Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.
- Waa maxay sababta dhammaan miisaanka oo dhan eber loogu dhigay khalad dilaa ah?
- Dhammaan dareemayaasha dareemayaasha waxay helayaan jaangooyooyin isku mid ah oo weligood ma kala soocaan (symmetry ma jabna)
- Waxay ka dhigtaa tababarka mid degdeg ah
- Waxay keentaa in khasaaruhu noqdo mid xun
- Waxay isticmaashaa xusuusta aad u badan
- He (Kaiming) bilawga si gaar ah ayaa loogu talagalay shaqada hawlgelinta?
- Sigmoid
- ReLU
- Tanh
- Softmax
- Waa maxay hadafka ugu weyn ee qorshayaasha bilowga miisaanka mabda'a leh?
- Si aad miisaanka oo dhan u siman yihiin
- Si loo dhigo miisaan kasta hal
- Si aad u ilaaliso kala duwanaanshiyaha hawlgelinta iyo jaangooyooyinka qiyaas ahaan joogto ah ee lakabyada
- Si meesha looga saaro baahida xogta
- Xavier (Glorot) bilawga ugu fiican ayaa ku habboon shabakadaha isticmaalaya firfircoonidee?
- ReLU iyo kala duwanaanshaheeda
- Dhaqdhaqaaq toos ah oo kaliya
- Wax hawlgelin ah haba yaraatee
- Tanh iyo sigmoid
- Waa maxay sababta uu bilaabista u isticmaalo kala duwanaanshiyaha 2 / fan_in halkii uu ka isticmaali lahaa 1 / fan_in?
- Si loo magdhabo dejinta ReLU ku dhawaad kala badh ka mid ah agabkeeda ilaa eber
- Si miisaanku u weynaado sabab la'aan
- Si loo yareeyo tirada xuduudaha
- Si loo waafajiyo cabbirka dufcadda
- Sidee eexda caadi ahaan loo bilaabaa marka miisaanka si aan kala sooc lahayn loo bilaabo?
- Si aad u qiimayso togan
- Si eber ah, maadaama summeeyaha uu horeba u jabiyay miisaannada aan tooska ahayn
- Si la mid ah heerka waxbarashada
- Si loo qiimeeyo bakhtiyaanasiibka ka weyn miisaanka
- Under Xavier initialization, which quantities determine the weight variance in the guide’s formula?
- The number of training epochs and batch size
- The output class count alone
- Fan-in and fan-out
- The activation’s test accuracy
- For a ReLU layer with fan-in 64, what variance does the He formula 2/fan_in specify?
- 1/64
- 1/16
- 2/64 squared
- 1/32