tensorflow - What's difference between Summation and Concatenation at neural network like CNN? -


what's difference between summation , concatenation @ neural network cnns?

for example googlenet's inception module used concatenation, resnet's residual learning used summation.

please teach me.

concatenation means concatenate 2 blobs, after concat have bigger blob contains previous blobs in continuous memory. example:
blob1:

1 2 3

blob2:

4 5 6

blob_res:

1 2 3 4 5 6

summation means element-wise summation, blob1 , blob2 must have exact same shape, , resultant blob has same shape elements a1+b1, a2+b2, ai+bi, ... an+bn. example above,
blob_res:

(1+4) 5 (2+5) 7 (3+6) 9

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