Image classification for dogs and cats with VGG-16 using PyTorch. Model accuracy: 99.6%. Classification API included

a simple CNN to classify a binary class consist of dogs and cats powered by TensorFlow.keras

A CNN to distinguish between cat images and dog images with a fairly high accuracy with less data

An exploration of the trade-off between image quality and accuracy.

This Repository contain algorithm to classify whether images contain either a dog or a cat. This is easy for humans, dogs, and cats. But computer will find it a bit more difficult.

Deep learning model for Cats vs Dogs competition in Kaggle. Also it contains CNN's filters and feature maps visualizations.

A simple classifier model that fine-tune the InceptionV3 model