MetENet is a custom CNN inspired by VGG-style convolutional blocks. It uses progressively increasing filter counts and regularisation at each stage. Input: 32 × 32 × 3 Block 1 — Conv(3×3, 32) → BN → ...
This repository contains the MATLAB Live Script implementation of MetENet, a custom Convolutional Neural Network architecture designed for image classification. The main objective of this project is ...
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