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
- Use non-linear units like ReLU to improve your model
- Build a deeper neural network (with more than 1 hidden layer)
- Implement an easy-to-use neural network class
- Model working successfully
- Accuracy acheived : 76%
- Model can be further improved by altering the number of layers and adjusting hyper-parameters.