chickenbellyfin / gsheetnet

Neural Network implementation in Google Sheets

gsheetnet

Neural Network implementation in Google Sheets

This script generates a feedforward neural network implementation as a CSV file that will work in Google Sheets.

By default, all weight parameters are 0 and all biases are .5

Requirements

• fire

Usage:

  python gsheetnet.py [layers] [args]
  Arguments:
    --layers: a list of comma separated layer sizes. no spaces
        (required)
    --bias: True or False, whether to add a bias term
        Default: True
    --activation: which activation function to use
        Default: 'sigmoid'
    --file: output filename
        Default: net.csv

Examples:

example.csv:

python gsheetnet.py [10,20,15,1] --file=example.csv

python gsheetnet.py [5,10,10,1] --activation='relu' --file=mynet.csv

python gsheetnet.py [28,50,10] False 'tanh' anotherfile.csv