Overview / Usage

This projects teaches you how a resnet50 convolutional neural network work .10222 images of 120 different breeds of dogs are are used as training dataset. Dataset is available in this link https://www.kaggle.com/c/dog-breed-identification.

Methodology / Approach

I'm using Resnet-50 architecture(transfer-learning) for classifying dogs.Using keras, tensorflow as backend.Images are having a ID number which contribute to different dog breeds.Feeding it into a resnet50 convolutional neural network.And training the last few layers of the model.

Technologies Used

Python,Jupyter notebook, keras, tensorflow as backend,intel ai devcloud

Repository

https://github.com/pranavsuresh7/Dogbreed-Classification-resnet50-transerlearning

Other links

• Dog breed classification dataset