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Registered: ‎06-13-2018

How do different Convolutional Neural Network Models work with the same base dnn architecture in chaidnn?



In the above link, they have shown a demo in which whichever elf file that we run for, that neural network works.

But each of the neural network has a different architecture.

WHen we open the Vivado project for the above link, we see that it has just 4 layers defined, namely conv pool deconvl and gemv.


Does that mean that according to the elf, it sees the which CNN (caffe model and deplot protxt) is there and during the run time on the said board (ours zc102) according to the CNN in elf makes the netowork along with the input output file and the base 4 layers architecture


Or is there a general architecture which while running the elf for that file is configured and ran.


Thanks in Advance,



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