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Maseti aunoita neural network yekutanga huremu isati yatanga kudzidziswa, iyo inoumba zvakasimba kana masaini uye gradients zvinogara zvine hutano kuburikidza neakadzama layers.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Kutanga kwakanaka ndiko mutsauko pakati pekukurumidza kusangana uye modhi isingambodzidzi.
Usati wadzidzira, uremu hwese hunoda kukosha kwekutanga. Kudziisa ku zero kunouraya: uremu hwakafanana hunoburitsa magradients akafanana, saka neuroni haambosiyanise - iri ndiro dambudziko rekutyora symmetry. Random kutanga kunotyora symmetry, asi chiyero chakakosha zvikuru. Yakakura kwazvo uye activation uye gradients inoputika; diki uye dzinonyangarika. Zvirongwa zvakatemerwa zvinosarudza musiyano unoenderana nehukuru hwesaizi kuti uchengetedze mutsauko wechiratidzo unoramba uripo pamatanho. Xavier (Glorot) kutanga kuyera kusiyanisa nenhamba yekupinza pamwe neinobuda mayuniti uye inokodzera tanh uye sigmoid network. Iye (Kaiming) ekutanga anoyera nenhamba yezvipimo uye maakaundi eReLU achirasa hafu yezvipo zvayo, zvichiita kuti ive chiyero cheReLU-based mambure akadzika uye CNNs. Kutanga kwakanaka kunochengeta kudzidziswa kwekutanga kwakagadzikana kusvika kujaira uye adaptive optimizers zvatora.
A CNN inoshandisa ReLU activation inotangwa neIye kutanga saka yakadzika convolutional stacks chitima pasina kunyangarika masaini.
Netiweki ine tanh activation inoshandisa Xavier kutanga kuchengetedza activation musiyano yakagadzikana pamatanho.
Injiniya anotanga netsaona zviremu zvese kusvika zero anoona network ichitadza kudzidza nekuti neuron yega yega inogara yakafanana.
Framework defaults (PyTorch's Kaiming, Keras's Glorot yunifomu) shandisa misimboti yekutanga otomatiki kana layer yagadzirwa.
Normalization layers uye zvakasara zvinongedzo zvakaita kuti kudzidziswa kuite kushomeka kune chaiyo yekutanga, asi ichiri kukosha kune yakadzika kwazvo kana normalization-yemahara network. Tsvagiridzo yakasimba inosanganisira zvirongwa zvakanangana nevashanduri uye kutarisisa, nzira dzinoita kuti network dzidzidzire pasina zvimiro zvenguva dzose, uye dzidziso senge dynamical isometry uye neural tangent kernel inofanotaura kudzidziswa kubva pakutanga chete. Dhata-inotsamira kutanga, iyo inogadzirisa zviyero kubva kumuenzaniso batch, ndeimwe nzira inokura.
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Maseti aunoita neural network yekutanga huremu isati yatanga kudzidziswa, iyo inoumba zvakasimba kana masaini uye gradients zvinogara zvine hutano kuburikidza neakadzama layers. Kutanga kwakanaka ndiko mutsauko pakati pekukurumidza kusangana uye modhi isingambodzidzi.
Nehuremu hwakafanana, neuron yega yega inokokorodza kuburitsa kwakafanana uye gradient, saka ivo vanogadziridza zvakafanana uye iyo layer haigone kudzidza akasiyana maficha.
Anotanga anoyera kusiyanisa ne2 / fan_in kutsiva ReLU kuburitsa inenge hafu yezvipo zvayo.
Zvirongwa zvakaita seXavier uye Iye anosarudza huremu mutsauko kubva kune akaturikidzana saizi kuitira kuti masaini asapera kana kuputika sezvaanoparadzira.
Xavier anoyera kumberi nekumashure musiyano we symmetric, saturating activation senge tanh uye sigmoid.
ReLU inongopfuura zvinopinda zvakanaka, ichirasa inenge hafu yechiratidzo, saka kupeta kaviri mutsauko kunodzoreredza inotarisirwa activation musiyano.
Ramba uchidzidza
Mamwe madhairekitori akasarudzirwa nyaya iyi
InoteveraGaidhi rinotevera
Stochastic Weight Avhareji
Tekinoroji