How to quickly find the layer by its name in deep learning?

Illustration
team_matlabsolutions - 2021-05-27T19:28:56+00:00
Question: How to quickly find the layer by its name in deep learning?

In the deep learning toolbox, I cannot easily manipulate a specific layer. For example, I know the name of a layer. How can I quickly find it in the layer array?     layers = [convolution2dLayer(3,3,'name','aa'); reluLayer('name','bb'); convolution2dLayer(3,3,'name','cc')] For example, if I want to find a convolutional layer named "cc", can I only find one by one in a for loop? When there are many layers(There are dozens of layers), this method is very inefficient!     for i = 1:length(layers) if strcmp(layers(i).Name,'cc') myfindLayer = layers(i); break; end end If only myfindLayer = layers ('cc') can be operated like this! I hope the official will consider such a method, easy to operate!

Related Questions

  • How to Plot data in excel sheet using MATLAB ?
  • How can I use LSTM networks to solve a time series regression problem?
  • How to create an attention layer for deep learning networks?
  • Nvidia NVLink in MATALB using multiple Geforce 2080 ti cards
  • How do I build TensorFlow Lite for Deep Learning C++ code generation and deployment?

    • Expert Answer

    Profile picture of Kshitij Singh Kshitij Singh answered . 2025-11-20

    I understand that you wish to search a layer based upon its name and not using its index. You can make use of the ‘Name’ property of a layer. Let’s consider the layer array you mentioned in the question and you want to find the layer with name ‘cc’.
     
    You can use –
     
    layers({layers.Name} == "cc")

    or

    layers(strcmp({layers.Name}, 'cc'))

    Don’t forget to put double-quotes (“ “) in case you are comparing using ‘==’ operator or else use string(‘cc’).


    Not satisfied with the answer ?? ASK NOW

    Get a Free Consultation or a Sample Assignment Review!

    Upload Assignment Talk to Expert