ALERT - Notebook is little heavy and might not open on github, you can see it here https://www.kaggle.com/shweta2407/dog-cat-classification-using-transfer-learning
A classifier that can distinguish between cats and dogs with an accuracy of 92 % using ResNet34 architecture. The code is written in python3 using PyTorch library.
The dataset used for the code can be found here https://www.kaggle.com/c/dogs-vs-cats