MATLAB Answers

How to calculate the number of parameters in MATLAB that is used by a deep learning network like VGG/ResNet

조회 수: 70(최근 30일)
Muhammad Arsalan
Muhammad Arsalan 2018년 10월 30일
댓글: N B 2021년 7월 30일
Suppose I am using a deep learning model like VGG-16/ResNet/ Inception, The other tools like tensorflow, Keras automatically show the number of parameters used by the candidate network. for example for VGG-Net the number of parameters are 138 Million Also if the network is modified for our own application the number of parameters is important to check the network cost or to make a lighter network. There must be a procedure to check it for DAG network.
Thanks in Advance

답변(1개)

SC
SC 2019년 12월 3일
편집: SC 2019년 12월 3일
I used a function to analyse it manually. I'm not sure if there're better approaches. Here's my code for a dlnetwork object myDLnet (thus the code works for 2019b but not sure for the older version):
num_para=find_num_para(myDLnet)
function num_para=find_num_para(myDLnet)
layers=myDLnet.Learnables.Value;
num_layers = size(layers,1);
num_para=0;
for i=1:num_layers
num_para=num_para+prod(size(layers{i}));
end
end
  댓글 수: 2

댓글을 달려면 로그인하십시오.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by