Deep Learning implementation using TensorFlow for Image Classification
The objective of this project is to develop a model capable of correctly classifying images of Dogs and Cats.
I am going to work on a subset of the original Dogs vs. Cats Dataset (3000 images sampled from the original dataset of 25000 images) to demonstrate techniques such as Image Augmentation and Droputs and how these techniques contribute in improving performance. The smaller dataset spares us a lot of computing power. I plan on demonstrating my work on the original dataset which demands GPU/High Computing power soon.