Building fruit detection with notebook and model updates
By RepoJournal , from @anurag629's public GitHub activity
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Anurag Verma expanded the Fruits-and-Vegetable-Detection project with new notebooks and model files, while starting a new repository to document his work on Hashnode.
Four commits landed in anurag629/Fruits-and-Vegitable-Detection [1] [2] [3] [4]. Verma added a Jupyter notebook to the project [1], then placed a trained model in the correct directory structure [2]. He added a comprehensive list of class names to the repository [3], and updated the README.md to document the project [4].
Separately, Verma initialized a new repository, anurag629/hashnode_anurag629 [5], to host technical posts. He published two pieces there: a post on Python fundamentals [6] and a detailed writeup on fruit classification using convolutional neural networks with transfer learning [7].
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References
- [1] added notebook in notebook anurag629/Fruits-and-Vegitable-Detection
- [2] added model in correct directory anurag629/Fruits-and-Vegitable-Detection
- [3] added all class names anurag629/Fruits-and-Vegitable-Detection
- [4] Update README.md anurag629/Fruits-and-Vegitable-Detection
- [5] Initial commit anurag629/hashnode_anurag629
- [6] create post: Python Basics: You all need to know ... anurag629/hashnode_anurag629
- [7] create post: Fruits CNN Classification Transfer Learning anurag629/hashnode_anurag629
