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After inspection of the model parameters, I noticed that each BatchNorm layer inside a poly-3 module has a different set of parameters. For example parameters for layers inception_resnet_b_1_path1_1x7_bn, inception_resnet_b_1_poly2_block1_path1_1x7_bn and inception_resnet_b_1_poly2_block2_path1_1x7_bn differ while inception_resnet_b_1_path1_1x7, inception_resnet_b_1_poly2_block1_path1_1x7 and inception_resnet_b_1_poly2_block2_path1_1x7 Convolutional layers have the same parameters.
Is my understanding correct that respective Convolutional layers are shared between all Inception blocks inside a poly-3 module while each BatchNorm layer inside an Inception block has its own set of parameters and therefore parameters of BatchNorm layers are not shared?
The text was updated successfully, but these errors were encountered:
After inspection of the model parameters, I noticed that each BatchNorm layer inside a poly-3 module has a different set of parameters. For example parameters for layers
inception_resnet_b_1_path1_1x7_bn
,inception_resnet_b_1_poly2_block1_path1_1x7_bn
andinception_resnet_b_1_poly2_block2_path1_1x7_bn
differ whileinception_resnet_b_1_path1_1x7
,inception_resnet_b_1_poly2_block1_path1_1x7
andinception_resnet_b_1_poly2_block2_path1_1x7
Convolutional layers have the same parameters.Is my understanding correct that respective Convolutional layers are shared between all Inception blocks inside a poly-3 module while each BatchNorm layer inside an Inception block has its own set of parameters and therefore parameters of BatchNorm layers are not shared?
The text was updated successfully, but these errors were encountered: