https://github.com/kmock930/texture-image-comparison
This project aims to build a model which classifies the type of an unseen image as accurate as possible, by implementing, evaluating, and comparing amongst 2 different multi-layer perceptron Neural Networks.
https://github.com/kmock930/texture-image-comparison
computer-vision conda confusion-matrix convolutional-neural-networks cuda image-preprocessing keras keras-tensorflow learning-curve-analysis matplotlib multi-layer-perceptron neural-network pickle-file python3 skimage
Last synced: 8 months ago
JSON representation
This project aims to build a model which classifies the type of an unseen image as accurate as possible, by implementing, evaluating, and comparing amongst 2 different multi-layer perceptron Neural Networks.
- Host: GitHub
- URL: https://github.com/kmock930/texture-image-comparison
- Owner: kmock930
- Created: 2024-10-16T21:22:53.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-23T04:05:06.000Z (over 1 year ago)
- Last Synced: 2025-05-29T18:30:03.454Z (10 months ago)
- Topics: computer-vision, conda, confusion-matrix, convolutional-neural-networks, cuda, image-preprocessing, keras, keras-tensorflow, learning-curve-analysis, matplotlib, multi-layer-perceptron, neural-network, pickle-file, python3, skimage
- Language: Jupyter Notebook
- Homepage:
- Size: 205 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md