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https://github.com/framilano/cnnwithexcel
An example of basic Convolutional Neural Network theory applied with Excel!
https://github.com/framilano/cnnwithexcel
Last synced: about 2 months ago
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An example of basic Convolutional Neural Network theory applied with Excel!
- Host: GitHub
- URL: https://github.com/framilano/cnnwithexcel
- Owner: framilano
- Created: 2023-07-16T16:32:26.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-07-16T17:02:27.000Z (over 1 year ago)
- Last Synced: 2023-07-16T17:37:00.373Z (over 1 year ago)
- Size: 16.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# CNNWithExcel
An example of basic Convolutional Neural Network theory applied with Excel.
Learned during ACloudGuru courses!
https://github.com/framilano/CNNWithExcel/assets/28491164/06816b79-4d96-4f3a-8b9c-b8574ee474f5
# Objective
Using [Convolution Neural Networks (CNN)](https://en.wikipedia.org/wiki/Convolutional_neural_network) concepts to recognize line patterns based on filters (slash, backslash, vertical and horizontal lines).
# How
The drawing field is a 6x6 square, every filter has its own 6x6 square where every single cell is the SUM of PRODUCTS between the filter square (2x2) and a 2x2 sector inside the drawing field.
If the pattern has been recognized (like a DASH) the SUM of PRODUCTS between the two matrixes is 2, whenever a 2 is evaluated it means the filter is valid and the "The is line is a Dash" String is print.
