Cat-Detector

This is a implementation of a deep learning model with binary classification.

The model classifies images as a cat or non cat (hence binary)

Dataset

The dataset on which the 4 hidden layered neural network model is trained and tested is located in the dataset folder.

The dataset is divided into two parts train and test

Model Accuracy

The model acheived a train accuracy of $98.5%$ and a test accuracy of $80%$.

This project is inspired by the course Neural Networks and Deep Learning by Andrew N. G.