Dog Vs Cat Classification using Convolutional Neural Network (CNN)

python 93% acc. CNN Dogs Vs Cats ( Pytorch )

Secure ML (Trash Bucket Problem, One-shot Learning, and Subpopulation Attack): Repo for ISM at Ashoka

Cat vs Dog Image Classifier Using Deep Learning(Transfer Learning)

Deep learning model build with MobileNet V2

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

Microservice for dog/cat image classification

This repository contains a CNN trained to differentiate a dog vs cat image with 92% accuracy

Utilização da arquitetura de rede neural convolucional Xception para classificação de imagens de cães e gatos, a partir do dataset do keggle.

Object Detection implementation with Mask R-CNN architecture.