Cat and Dog Image Classifier

This repository contains a Convolutional Neural Network (CNN) model built using TensorFlow/Keras to classify images as either cats or dogs.

Overview

The model is trained on a dataset of 5000 cat and dog images and achieves a reasonable level of accuracy in distinguishing between the two classes. The dataset is split into training and validation sets.

Installation

Clone the repository:

```
git clone https://github.com/Aditya-Ranjan1234/CatVsDog_Classifier.git

Model Architecture

The CNN model consists of the following layers:

• Convolutional layers with ReLU activation
• MaxPooling layers
• Fully connected (Dense) layers
• Sigmoid activation in the output layer for binary classification

Dataset

The dataset used : https://www.kaggle.com/datasets/salader/dogs-vs-cats/data