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https://github.com/enjirouz/intelligentsystems
Expert systems examples: production type expert systems with direct and reverse logical conclusion; numpy perceptron; numpy neural network trained on logic AND operation; convolutional neural network for image recognition using cifar10 dataset and keras
https://github.com/enjirouz/intelligentsystems
cifar10 classification cnn convolutional-neural-network expert-systems image-classification image-recognition keras-tensorflow numpy
Last synced: 3 days ago
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Expert systems examples: production type expert systems with direct and reverse logical conclusion; numpy perceptron; numpy neural network trained on logic AND operation; convolutional neural network for image recognition using cifar10 dataset and keras
- Host: GitHub
- URL: https://github.com/enjirouz/intelligentsystems
- Owner: EnjiRouz
- Created: 2019-10-07T17:21:27.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2019-12-02T11:56:43.000Z (almost 5 years ago)
- Last Synced: 2023-10-20T19:41:32.367Z (about 1 year ago)
- Topics: cifar10, classification, cnn, convolutional-neural-network, expert-systems, image-classification, image-recognition, keras-tensorflow, numpy
- Language: Python
- Homepage:
- Size: 17.1 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# IntelligentSystems
lab 1: expert systems of production type with direct logical conclusionlab 2: expert systems of production type with reverse logical conclusion
NeuralNetwork:
* numpy perceptron;
* numpy neural network trained on logic AND operation;
* convolutional neural network for image recognition using cifar10 dataset and keras