An image classification algorithm using CNN in Pytorch

A Convolutional Neural Network (CNN) model to predict Cat/Dog with Keras

Cat vs Dog Classification using SVM and KNN Classifiers from the Sklearn Library

Deploy a pre trained(tf) model using TensorFlow serving and Flask

Pytorch Model to classify cats and dogs images

A Cat vs Dog classifier using CNN

Cat-Dog Classifier using VGG16 architecture to implement Transfer Learning with Keras November 2020

本项目基于TensorFlow训练了一个CNN模型，开发了一个简易的猫狗识别器。整个项目较好体现了面向对象思想，相信有点编码基础的同行能够非常快速地理解整个代码结构。ReadMe中具有详细的最终效果，博客讲解链接、参考教程等详细信息。

Training a keras model to recognize real images of cats and dogs in order to classify an incoming image as one or the other.

Miscellaneous AI/ML examples

Dog cat classification using pytorch, neural network

Flask app for Classification of Dog/Cat using (CNN) with transfer learning @MobileNetV2

MATLAB Cat-Dog Classifier

This project uses Transfer Learning to train a Model which classifies Cats and Dogs

A deep learning project using the Tensorflow and Keras libraries with the Convolutional Neural Network method. This development allows us to detect whether the entered image is a cat or a dog.

Flask Blueprint & RESTful application with various image classification models.

implement kotlin dl library to compile keras model to classify image

This repository is best fit to get started with pytorch. It contains notebooks with implementation of cat and dog classifiers in simple using ANN (CNN). Purpose is to get the basic understanding of pytorch with training and validation and dataset class implementations don't mind the accuracy.