Project 2 of Udacity's Introduction to Machine Learning Nanodegree Program

Build a Python application that can train an image classifier on a dataset, then predict new images using the trained model.

Image classifier on CIFAR-10 Dataset, using tensorflow

Udacity's project of classifying images by using pytorch and transfer learning

A Neural Network to classify flower images

This image classifier was built as the final project for the Udacity AIPND course

Udacity DataScience nanodegree image classifier problem

AI Python image classifier identifying flower types

Image Classifier Project for the Udacity Nano Degree on AI Programming with Python

Image Classification for Chest X-Rays using Transfer Learning

This repository contains the files I have submitted for the final project of the AI Programming with Python Nanodegree offered by the School of AI, Udacity.

This project is part of Udacity's Data Science Program. This python application trains an image classifier on a dataset, then predicts new images using the trained model.

An image recognizer using Python and PyTorch that can train an image classifier on a dataset, then predict new images using the trained model.

This project is basically a Python application that can train an image classifier on a dataset, then predict new images using the trained model. After developing the code for an image classifier built with PyTorch, it also converts it into a command line application. (part of Data Science)

Udacity Machine Learning Basic Nanodegree Program - Project 2: Flower Image Classifier

Implemented a convolutional neural network to classify images from the CIFAR-10 dataset.

Building a flower classifier with PyTorch

Project-2 of Udacity's Introduction to Machine Learning with TensorFlow Nanodegree. "Flower Image Classifier" is a Deep Learning Project with TensorFlow that aims to build a Keras model that accurately predicts the type of a particular flower among 102 different flower types, and then converts the developed image classifier into a command-line a…

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