List of a predefined deep learning layers

I come across the question when I was learning the YOLO V2 example. In the example, it is recommended to use activation_40_relu as featureLayer in the resnet50. It seems that the layer "activation_40_relu" is a predefined layer in Matlab. My questions are:
  1. Where can I find the detailed description for this layer?
  2. I assume there are many such predefined layer to choose. Where can I find the list of such predefined layers, if I want to use another layer instead of "activation_40_relu"?

 Accepted Answer

Cris LaPierre
Cris LaPierre on 26 Oct 2023
Edited: Cris LaPierre on 27 Oct 2023
I don't know if there is a detailed explanation somewhere of the ResNet-50 network.This is a pretrained network that can be added to MATLAB through the Add-ons Explorer, but you may need to look to the original creators of the network for specific details.
There are 177 total layers in the ResNet-50 model, corresponding to a 50 layer residual network (before adding the YOLO v2 layers).
After installing the Deep Learning Toolbox Model for ResNet-50 Network, open the Deep Network Designer. In the startup screen, select ResNet-50.
The model will open. You will see a visual representation of the model.
You can then zoom in to inspect the layers. Here is activation_40_relu. Any options for that layer will appear on the right.

More Answers (0)

Categories

Find more on Deep Learning Toolbox in Help Center and File Exchange

Asked:

Tai
on 26 Oct 2023

Commented:

on 1 Nov 2023

Community Treasure Hunt

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

Start Hunting!