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

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

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

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

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

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.

A simple classifier model that fine-tune the InceptionV3 model