Dog vs Cat Classifier

This project is a Convolutional Neural Network (CNN) built using Keras to classify images of dogs and cats.

Installation

1. Clone the repository:

   git clone <repository-url>

2. Navigate to the project directory:

   cd <project-directory>

3. Create and activate a virtual environment:

   python -m venv .venv
   .\.venv\Scripts\activate  # On Windows
   source .venv/bin/activate  # On macOS/Linux

4. Install dependencies:

   pip install -r requirements.txt

Usage

1. Train the model:

   python train_model.py

2. Predict using the trained model:

   python predict_image.py --image_path <path-to-image>

Files

• model.h5: Saved model file.