Code for "Complex-Valued Depthwise Separable Convolutional Neural Network for Automatic Modulation Classification"
-
Updated
Jan 24, 2024 - Python
Code for "Complex-Valued Depthwise Separable Convolutional Neural Network for Automatic Modulation Classification"
Overview of self-supervised learning of tiny models, including distillation-based methods (aks. self-supervised distillation) and non-distillation methods.
This course is designed for beginner AI developers, ML engineers, data scientists, and mobile developers looking to deploy optimized models on edge devices.
An awesome list of small (smol), lightweights AI models, tools and technical resources.
Add a description, image, and links to the lightweight-models topic page so that developers can more easily learn about it.
To associate your repository with the lightweight-models topic, visit your repo's landing page and select "manage topics."