Udacity nanodegree projects: DLND, DRLND, DAND

These are the projects I did on my Udacity Deep Learning Nanodegree 🌟 💻 💻. 💥 🌈

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

A simple classification model takes the advantage of transfer learning to train the model to identify the dog images.

PyTorch implementation of a dog breed classifier using convolutional neural nets.

A deep learning-powered Flask web app that identifies dog breeds from images using TensorFlow and Keras.

Projects for Artificial Intelligence Nanodegree

Identify dog breeds with ease using this Streamlit app powered by a pre-trained machine learning model.

Transfer Learning with TensorFlow

Object Classification project with Heroku deployment, which classfies 30 Dog breeds using tensorflow

This notebook builds a multiclass image classifier for classifying dog breeds using TensorFlow 2.0 and TensorFlow Hub.

Included five projects - Predicting Bike-Sharing Data - Dog Breed Classifier -Deploy a Sentiment Analysis Model

Intelligent deep learning model for dog breed classification classification

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.

🐶 Deploy a predictive classification model for dog breeds using Flask + Keras!

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

A task from Udacity Deep Learning Nanodegree Program, with some basic CNN implementations for study purpose

These are all the assignments from Udacity Nanodegree Machine Learning course

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.

A dog breed classification model created using CNN with InceptionV3 pretrained weights .

A convolutional neural network trained to classify dog breeds.

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

submission to udacity deep learning nanodegree . original comde can be found at https://github.com/udacity/deep-learning-v2-pytorch

End-to-end deep learning pipeline to classify images of dogs and humans to determine what breed the human or dog most resembles

A dog breed classifier using Transfer Learning with Convolutional Neural Networks in PyTorch.

Udacity Machine Learning Nanodegree - Deep learning project (Jan 2019)

This repository contains the Deep Learning Nano-degree projects by Udacity