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

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

Second Deep learning project

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

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

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

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.

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

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

Dog breed classification using DCNNs.

This is a Dog Breed Classifier built using CNN

Simple app to find random pictures of selected dog breeds

Angular 5 and Bootstrap 4 Dog Database using the open dogs api (api available at https://dog.ceo/dog-api/)

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.