Cat Image Classification

Built a deep neural network, and applied it to cat vs non-cat classification.

This project is a part of the course Neural Networks and Deep Learning on Coursera.com

Lessons implemented

1. Use non-linear units like ReLU to improve your model
2. Build a deeper neural network (with more than 1 hidden layer)
3. Implement an easy-to-use neural network class

Results

1. Model working successfully
2. Accuracy acheived : 76%
3. Model can be further improved by altering the number of layers and adjusting hyper-parameters.