Cat vs Dogs Classifier

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

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Project Overview

• Dataset used: Dogs vs Cats dataset from Kaggle
• Images are resized to 256x256 pixels
• Model architecture consists of 3 convolutional layers with batch normalization and max pooling, followed by fully connected dense layers with dropout
• Binary classification using sigmoid activation in the output layer
• Trained for 10 epochs with Adam optimizer and binary cross-entropy loss

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Requirements

• Python 3.x
• TensorFlow
• Keras
• OpenCV (cv2)
• Matplotlib

You can install the necessary packages with:

pip install tensorflow keras opencv-python matplotlib