Skip to content

Broadcasting-residual network model zoo for Multiple Classification Tasks.

License

Notifications You must be signed in to change notification settings

Honee-W/BC-ResNets

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 

Repository files navigation

BC-ResNets

Broadcasting-residual network model zoo for Multiple Classification Tasks.

Small but Effective

unofficial implementation of 'Broadcasted Residual Learning for Efficient Keyword Spotting'

How to Use

1. add this python file to your model directory

2. import the 'BCResNet' object and ready to go!

HyperParams Configurations

num_classes: total classification classes based on your task

delta: channel scaling, refers to τ in the original paper

aug: choose data augmentation or not

Model Params List

BC-ResNet-1: 9.2k

BC-ResNet-2: 27.3k

BC-ResNet-3: 54.2k

BC-ResNet-6: 188k

BC-ResNet-8: 321k

About

Broadcasting-residual network model zoo for Multiple Classification Tasks.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages