Implementation of cats-vs-dogs based on CNN.

Dog vs Cat classifier Flask app using Convolutional Neural Network with pretrained model MobileNetV2 from Keras. Model has 98% accuracy on both train and validation sets. Heroku app at https://dogvscat-mobilenet.herokuapp.com/

A cat vs dog image classifier built with keras and then exported to be used in the browser by tensorflow.js

A flask based web application to differentiate between cats and dogs

Dogs Vs Cats Classifier for Kaggle Competition

Transfer Learning on Dogs vs Cats dataset using PyTorch C+ API

An image classifier that determines whether an image contains a dog or a cat.

Creating a convolutional neural network to classify cats vs dogs using the Kaggle dataset

An exemplar repo generated and written in golang with an openapi spec

A simple Lightning Memory-Mapped Database (LMDB) converter for ImageFolder datasets in PyTorch. Using LMDB over a regular file structure improves I/O performance significantly. Works on both Windows and Linux. Comes with latest Python support.

🦞 图像分类任务（支持 API 部署）

Create an algorithm to classify whether images contain either dog or a cat.

Transfer Learning on Dogs-vs-cats

Dogs vs Cats Tutorial

Kaggle Classification Challenge on classifying dogs and cats using Transfer Learning.

My solution to the Kaggle challenge "Dogs vs. Cats" using PyTorch.

Tensorflow

Classification of Dogs and Cats images using CNN