Video: Dab tsi yog nn linear hauv PyTorch?
2024 Tus sau: Lynn Donovan | [email protected]. Kawg hloov kho: 2023-12-15 23:47
Los ntawm cov ntaub ntawv: CLASS torch. nn . Tawm (in_features, out_features, bias=True) Siv a kab tawm transformation to the incoming data: y = xW^T + b. Parameters: in_features - qhov loj ntawm txhua tus qauv nkag.
Ib yam li ntawd, nws tau nug, NN linear ua haujlwm li cas?
Tawm . Siv tau a kab tawm kev hloov pauv mus rau cov ntaub ntawv nkag, piv txwv li //y= Ax+b//. Lub input tensor muab rau pem hauv ntej (input) yuav tsum yog vector (1D tensor) lossis matrix (2D tensor). Yog hais tias cov tswv yim yog ib tug matrix, ces txhua kab yog xam tau tias yog ib tug input qauv ntawm muab batch.
Ib yam li ntawd, conv2d yog dab tsi hauv PyTorch? kev 2d (input, luj, self. bias, self. stride, self. padding, self. dilation, self.
Qhov thib ob, PyTorch nn yog dab tsi?
PyTorch : nn Cov nn pob ntawv txhais cov txheej txheem ntawm Modules, uas koj tuaj yeem xav tias yog txheej txheej neural network uas tau tsim tawm los ntawm kev tawm tswv yim thiab tej zaum yuav muaj qee qhov hnyav hnyav. import taws # N yog batch loj; D_in yog input dimension; # H yog zais qhov ntev; D_out yog output dimension.
Koj siv ReLU hauv PyTorch li cas?
Hauv PyTorch , koj tuaj yeem tsim ib ReLU txheej siv cov haujlwm yooj yim relu1 = nn. ReLU with the argument inplace = False. Txij li thaum ReLU muaj nuj nqi yog siv lub ntsiab-wise, tsis muaj yuav tsum tau qhia kom meej input los yog tso zis qhov ntev. Qhov kev sib cav inplace txiav txim seb qhov kev ua haujlwm zoo li cas rau cov tswv yim.
Pom zoo:
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