tensor-fsmn
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why not implement it by cnn
I think the fsmn is similarity to the convolution layer, but I can't find anyone use the conv layer, does I wrong?
SFSMN can be implemented using convolution layer, but vFSMN cannot. The operation is similar as convolution, but it is not the same. Conv ops do multiply and reduce sum in to a scalar, but fsmn reduce sum in one dimension
SFSMN can be implemented using convolution layer, but vFSMN cannot. The operation is similar as convolution, but it is not the same. Conv ops do multiply and reduce sum in to a scalar, but fsmn reduce sum in one dimension
So vFSMN is same as depth-wise conv?
SFSMN can be implemented using convolution layer, but vFSMN cannot. The operation is similar as convolution, but it is not the same. Conv ops do multiply and reduce sum in to a scalar, but fsmn reduce sum in one dimension
So vFSMN is same as depth-wise conv?
You are definitely right.