https://github.com/agnivchtj/ann
Develop an Artificial Neural Network that can classify inputs based on a number of features
https://github.com/agnivchtj/ann
backpropagation-algorithm jupyter-notebooks python scikit-learn
Last synced: 3 months ago
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Develop an Artificial Neural Network that can classify inputs based on a number of features
- Host: GitHub
- URL: https://github.com/agnivchtj/ann
- Owner: agnivchtj
- Created: 2020-08-03T11:58:23.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2020-08-03T17:12:52.000Z (almost 5 years ago)
- Last Synced: 2025-01-22T05:43:15.840Z (4 months ago)
- Topics: backpropagation-algorithm, jupyter-notebooks, python, scikit-learn
- Language: Jupyter Notebook
- Homepage:
- Size: 272 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# ANN
Classification can be performed using Artifical Neural Networks (ANNs), which categorize products into classes by detecting a number of separate features.
The goal is to load the data, divide it into training sets and use it to train a neural network. A feed-forward neural network with a back-propagation training algorithm will be used to recognize the classes of the unknown samples, with sigmoid and relu activation functions.