MLProject-CNN

This project involves creating a ResNet-10 architecture for a CNN. Key enhancements include label smoothing, custom epochs, and learning rate adjustments, resulting in an accuracy of 92.4%.

Key Features

• ResNet-10 Architecture
• Label Smoothing
• Custom Epochs
• Learning Rate Adjustments

Results

Achieved an accuracy of 92.4%.

Getting Started

Prerequisites

• Python 3.x
• TensorFlow
• Keras
• NumPy
• Matplotlib