Perceptron
A basic customizable single layer perceptron, like the Mark 1 Perceptron.
Docs
python train.py --train - Trains the model
python train.py --test - Test the model on the dataset
python train.py --gradio - Run a gradio instance
python train.py --help - Help message
python train.py --testOnFlagged - Test the model on the images flagged by gradio
python train.py --trainOnFlagged - Train the model on the images flagged by gradio \
Options
--shape - The shape of the image. Defaults to 28
--bias - Defaults to 0
--weights - .csv file containing weights. Defaults to None (will use 0s for all weights initially)
--circles - (for --train and --test only) Directory for circles to train/test on. Defaults to data/circles
--squares - (for --train and --test only) Directory for squares to train/test on. Defaults to data/squares
--output - (for--train and --trainOnFlagged only) File to save weights to. Will not save weights otherwise.
--count - (for --train and --trainOnFlagged only) How many epochs to run the model on the dataset. Defaults to 1
--host - (for --gradio only) Host to run the gradio instance on. Defaults to 127.0.0.1
--port - (for --gradio only) Port to run the gradio instance on. Defaults to 8080
--retest - (for --trainOnFlagged only) Will test the model against the flagged images after training \