CIFAR-10 Image Classifier

A deep learning model trained on the CIFAR-10 dataset using TensorFlow & Keras.

Features

✔ Trained on 60,000 CIFAR-10 images
✔ Uses CNN with Batch Normalization, Dropout, and Swish Activation
✔ Modularized architecture for scalability
✔ Supports training on GPU/cloud environments

⚙️ Setup Instructions

☝️ Install dependencies:

pip install -r requirements.txt

Directory Structure

CIFAR10-Classifier/
│── models/
│ ├── model_cifar10.py # Model architecture
│── utils/
│ ├── utils.py # Helper functions (data loading, visualization)
│── notebooks/
│ ├── debug.ipynb # Jupyter notebook for debug, evaluation
│── scripts/
│ ├── train.py # Model training
│── data/
│── README.md # Project documentation
│── requirements.txt # Dependencies (Python,TensorFlow, NumPy)
│── .gitignore
│── LICENSE # Open-source license (MIT)