Set of scripts and data for reproducing dog breed classification model training, analysis, and inference.

Simple classifier in your browser to predict dog breeds using Flask and Keras/Tensorflow.

Transfer Learning with TensorFlow

CNN to Classify Dog Breeds using onvolutional Neural Network (CNN) that can classify at ~85% the dog breed from any user-supplied image

Kaggle dog breed identification implemented via gluon

Second Deep learning project

This project divided into Two-part : (( Dog Breed Classifier )) Capstone-Proposal + Capstone-Project

BarkMeow is a pet care application specifically created for Sri Lankan pet owners

using deep learning (CNN) to classify dog breeds

End-to-end deep learning pipeline to classify images of dogs and humans to determine what breed the human or dog most resembles

A web-based dog breed identifier in PyTorch deployed using Flask. This is an example of transfer learning for which Resnet152 is used.

Dog breed classification using DCNNs.

Udacity Artificial Intelligence Nanodegree CNN Project. Created a CNN for breed classification of dogs by transfer learning using bottleneck features of four pre-trained models. Implemented the Haar cascade classifier for human face detection.

Frontend Masters Bootcamp 🏕️ - Get a complete, ground-up introduction to HTML, CSS, and JavaScript. Get hands-on experience building projects.

A web app that analyzes, recognizes, and gives information about dog breeds, all based on an image from the user 🐩

Build a CNN model to classify images of dogs according to their breed.

The RNN will take an image of a dog then will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.

Using CNNs to identify the breed of dog in an image

iOS app classifier that will predict dog breed by passing selected image into a trained neural network model.