MobileNet for Efficient Image Classification

This repository demonstrates the use of MobileNet for efficient image classification, particularly in mobile and embedded systems. MobileNet is a lightweight CNN architecture that maintains high accuracy with fewer parameters and reduced computational cost. The repository provides implementations of various versions of MobileNet and shows how to fine-tune the model on custom datasets. The focus is on optimizing the model for deployment on mobile devices with constraints on computational resources and power consumption.