Deep Learning Project for Udacity Machine Learning Nanodegree
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Updated
Sep 10, 2017 - HTML
Deep Learning Project for Udacity Machine Learning Nanodegree
Deep Learning Engineer Nanodegree
Convolutional Neural Networks Project to identify breed of dogs
Dog Breed Classifier (CNN) -- Udacity DLND
Transfer Learning with TensorFlow
Given an image of a dog, algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.
A progam to identify to which breed a particular dog belongs to based on the image provided
Dog Breed classifier using Transfer learning
Udacity Machine Learning Engineer Nanodegree Convolutional Neural Networks (CNN) Project: Dog Breed Classifier
Project for Udacity MLND for dog breeder classification
In this project, my code will accept any user-supplied image as input. If a dog is detected in the image, it will provide an estimate of the dog's breed. If a human is detected, it will provide an estimate of the dog breed that is most resembling.
A project aimed to classify dog breeds and search for the most matched image in the database
A machine learning algorithm based on Convolutional Neural Networks to identify dog breeds
PyTorch implementation of a dog breed classifier using convolutional neural nets.
Multiple class image classifier using Deep Learning frame work Pytorch
Identification of humans using CV2 Haar-like features and classification of dogs using CNN and pretrained CNN(transfer learning).
Dog breed classifier using CNN and transfer learning. It can also detect human faces in photo(if any) and tell the most resembling breed
submission to udacity deep learning nanodegree . original comde can be found at https://github.com/udacity/deep-learning-v2-pytorch
The dog-breed classifier project is a part of Udacity Deep Learning Nanodegree
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