Simple classifier in your browser to predict dog breeds using Flask and Keras/Tensorflow.
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Updated
Jun 26, 2017 - Python
Simple classifier in your browser to predict dog breeds using Flask and Keras/Tensorflow.
Dog breed classification using DCNNs.
Set of scripts and data for reproducing dog breed classification model training, analysis, and inference.
Kaggle dog breed identification implemented via gluon
CNN to Classify Dog Breeds using onvolutional Neural Network (CNN) that can classify at ~85% the dog breed from any user-supplied image
This is a Dog Breed Classifier built using CNN
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.
Angular 5 and Bootstrap 4 Dog Database using the open dogs api (api available at https://dog.ceo/dog-api/)
Use deep learning ( CNN ) to detect dog in images and specify the breed of the dog and another part of project, is detect human face then estimate of the dog breed that is most resembling :)
Transfer Learning with TensorFlow
Predicting dog's breed in an image using Machine Learning
using deep learning (CNN) to classify dog breeds
Simple app to find random pictures of selected dog breeds
Build a CNN model to classify images of dogs according to their breed.
iOS app classifier that will predict dog breed by passing selected image into a trained neural network model.
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.
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.
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