https://github.com/maxbrheinl/flower-image-classifier

Flower-Image-Classifier is a deep learning project built with PyTorch to identify flower species from images using a dataset of 102 categories. It includes data preprocessing, model training, and a command-line app for predictions. I created this project as part of my Udacity AI Programming with Python Nanodegree.
https://github.com/maxbrheinl/flower-image-classifier

classification computer-vision deep-learning jupyter-notebook python

Last synced: about 2 months ago
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Flower-Image-Classifier is a deep learning project built with PyTorch to identify flower species from images using a dataset of 102 categories. It includes data preprocessing, model training, and a command-line app for predictions. I created this project as part of my Udacity AI Programming with Python Nanodegree.

• Host: GitHub
• URL: https://github.com/maxbrheinl/flower-image-classifier
• Owner: MaxBRheinl
• License: mit
• Created: 2025-02-27T09:33:17.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-02-27T10:29:28.000Z (over 1 year ago)
• Last Synced: 2025-10-09T14:06:16.299Z (9 months ago)
• Topics: classification, computer-vision, deep-learning, jupyter-notebook, python
• Language: Jupyter Notebook
• Homepage:
• Size: 1.02 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Codeowners: CODEOWNERS

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# AI Programming with Python Project

Project code for Udacity's AI Programming with Python Nanodegree program. In this project, students first develop code for an image classifier built with PyTorch, then convert it into a command line application.