CIFAR-10 Image Classification

Project Goal:

The goal of this project is to classify images in the CIFAR-10 dataset using a deep Convolutional Neural Network (CNN). The project includes advanced features such as data augmentation, batch normalization, dropout, and learning rate scheduling to enhance the model's accuracy and prevent overfitting.

Important Files:

• model.py: The main Python script that contains the CNN model architecture and training logic.
• requirements.txt: The required Python libraries for running the project.
• README.md: Documentation for understanding and running the project.

To Use This Project:

1. Clone the repository:

   git clone https://github.com/edwardmagongo/model-cifar10-image-classification-edwardmagongo.git