There are 1 repository under dog-breed-classifier topic.
Udacity nanodegree projects: DLND, DRLND, DAND
These are the projects I did on my Udacity Deep Learning Nanodegree π π» π». π₯ π
Dog Breed classifier project of the Data Scientist Nanodegree by Udacity. A Web Application is developed using Flask through which a user can check if an uploaded image is that of a dog or human. Also, if the uploaded image is that of a human, the algorithm tells the user what dog breed the human resembles the most. The Deep Learning model distinguishes between the 133 classes of dogs with an accuracy of over 82.89%.
A project aimed to classify dog breeds and search for the most matched image in the database
Dog Breed Classifier Project-Deep Learning Nanodegree Udacity
Projects for Artificial Intelligence Nanodegree
PyTorch implementation of a dog breed classifier using convolutional neural nets.
A simple classification model takes the advantage of transfer learning to train the model to identify the dog images.
Transfer Learning with TensorFlow
Object Classification project with Heroku deployment, which classfies 30 Dog breeds using tensorflow
In this project i have downloaded the data from kaggle to train and test the breed of the dogs, ferther details has been given in the code JUPYTER NOTEBOOK
Intelligent deep learning model for dog breed classification classification
Included five projects - Predicting Bike-Sharing Data - Dog Breed Classifier -Deploy a Sentiment Analysis Model
πΆ Deploy a predictive classification model for dog breeds using Flask + Keras!
Identify dog breeds with ease using this Streamlit app powered by a pre-trained machine learning model.
These are all the assignments from Udacity Nanodegree Machine Learning course
A task from Udacity Deep Learning Nanodegree Program, with some basic CNN implementations for study purpose
Developers of all skill levels get hands on with machine learning through a cloud based 3D racing simulator, fully autonomous 1/18th scale race car driven by reinforcement learning, and global racing league.
This repo includes complete end to end algorithm for dog breed classification mechanism using deep learning.
The dog-breed classifier project is a part of Udacity Deep Learning Nanodegree
End-to-end deep learning pipeline to classify images of dogs and humans to determine what breed the human or dog most resembles
In this project we are given by the 10000+ images of dogs for both the train and the test data sets. We are suppose to predict the breed of the dog by training the model with dog image
A dog breed classifier using Transfer Learning with Convolutional Neural Networks in PyTorch.
A dog breed classification model created using CNN with InceptionV3 pretrained weights .
Constructed an algorithm that works on user supplied image. If a dog is detected, it estimates the breed of the dog, Trained using Transfer learning with CNN.
Udacity Machine Learning Nanodegree - Deep learning project (Jan 2019)
submission to udacity deep learning nanodegree . original comde can be found at https://github.com/udacity/deep-learning-v2-pytorch
Dog-Breed Classifier
This repository contains the Deep Learning Nano-degree projects by Udacity
A convolutional neural network trained to classify dog breeds.
Flutter desktop application for classifying dog breeds using a pre-trained TensorFlow model. Users can upload a dog photo, and the app sends it to a Python script for prediction. The result is displayed with the top predicted dog breeds and probabilities. Note: Currently available for Windows only.
Dog Breed Classification using Transfer Learning in AWS Sagemaker
Implementation of a convolutional neural network (CNN) for identifying dog breeds, the code uses Keras and TensorFlow to train and evaluate the model.
The goal of the project is to improve a kaggle project about Dog Breed Classification, achieving an higher test accuracy. The original project achieved 79% of accuracy on the test set, while this one goes up to 87%. Also further improvements were made to the data processing pipeline in terms of modularity and performance.
This Dog-Breed-Prediction project is a collaborative notebook that uses deep learning techniques to identify dog breeds from images. The notebook is built using Python and the popular deep learning framework, TensorFlow, making it a great resource for those interested in computer vision and deep learning.