Trying to under stand the loss functions

[csinpi]

Neural-Style-Transfer/INetwork.py

Line 513 in 536a96d

for j in range(nb_style_images):

Between these two lines, sl is only decided by the last style image? Am I understanding it correctly?

[titu1994]

J is indexing each of the available style layers. Sl1 and Sl2 compute the loss separately for each of the J style images passed, and then sl computes the difference between each of these (sl1_j, sl2_j) pairs, and these differences are summed up using geometric weighing of the loss terms based on depth of the network.

[csinpi]

That makes sense. For some reason I thought Line 518 was outside the for-loop started in Line 513. Thanks for the prompt reply.

[titu1994]

Glad I could help!