Udacity Deep Learning Nanodegree Dog breed classification project in pytorch using convolutional neural network

Dog breed classifier using Resnet150 and Pytorch

Dog Breed Classifier (CNN) -- Udacity DLND

Deep Learning Nanodegree Project : Given an image of a dog, the algorithm will identify an estimate of the canine’s breed. If supplied with an image of a human, the code will identify the resembling dog breed.

Image classification with deep learning

Identify a dog's breed utilizing convolutional neural networks.

Project for the module Convolutional Neural Networks for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Hot dog, wiener dog, or corn dog?

DogBreed Classifier MLOPS

Project for Udacity MLND for dog breeder classification

Dogs Image Classifier classifies pet images to dogs and not dogs and identify the breeds of the classified dogs using transfer learning via PyTorch pretrained models.

Machine Learning project deployed in AWS that classifies dog breeds using a Base Model ResNet50 from torchvision library

[2019.S] ABR Lab 학부연수생 여름 프로젝트 과제

A RNN that identifies the picture of a dog you input. It identifies it as one of the many it has been trained. If the picture you provide is not present in the sets for it has been trained on, It shows the one with closest resemblence.

Udacity project for Dog breed classifier using CNN

Dog Breed Image Classification Web Application. Met requirements for WGU Computer Science Capstone.

Repository of the Udacity AI Programming with Python Project Submission Files

Determine how well the "best" classification algorithm works on correctly identifying a dog's breed. If you are confused by the term image classifier look at it simply as a tool that has an input and an output. The Input is an image. The output determines what the image depicts. (for example, a dog).