Flask Blueprint & RESTful application with various image classification models.

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。

An image classification algorithm using CNN in Pytorch

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

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

TensorFlow Developer by DeepLearning.AI

Using VGG16 feature extractor with Scikit-learn Support Vector Machine to train the model to classify dogs and cats. Model accuracy: 94.71%

Pytorch Model to classify cats and dogs images

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.

Cat and Dog classifier made using fine tuning InceptionV3 (Transfer Learning)

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.

Miscellaneous AI/ML examples

Dog cat classification using pytorch, neural network

Task 3 of the Prodigy InfoTech ML internship which involves Implementing a support vector machine (SVM) to classify images of cats and dogs.

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

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

Deep Learning Classification includes related applications. In two applications, classification is performed using different trained models. The code is written in Python.

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