Basic Machine
Learning Model

What does it do?

Considering an equation, this application will take input 6 x values(independant variable) and 6 y values(dependant variable) from you and run 500 epochs over a single neuron
and will try to learn the realtionship between them.
The Model without knowing the exact equation will try to predict the answer of an unknown x given by you.

Enter the values: Please try to provide as much variety as you can...

Please don't leave any cell in the table blank and go to the prediction once a "Training is Complete" message pops up.
This will only be able to predict linear relations.
The answer will never be accurate,but close to the real answer.

Considering an equation, this application will take input 6 x values(independant variable) and 6 y values(dependant variable) from you and run 500 epochs over a single neuron
and will try to learn the realtionship between them.
The Model without knowing the exact equation will try to predict the answer of an unknown x given by you.

IF NAN IS RETURNED, OUR MODEL WAS NOT ABLE TO TRAIN CORRECTLY TO YOUR VALUES
Values of X Corresponding values of Y

THE ENTRY YOU LEAVE BLANK THE DEFAULT ONES WILL BE USED.
DEFAULTS ARE --> Optimizer: SGD Loss: meanSquaredError Epochs: 500 Layer 1: 1 Neuron Layer 2: 1 Neuron Learning Rate: 0.001

LAYER 1 : LAYER 2 :


Loss Function -------
Optimizer ------

Enter x who's y you want to predict:

Open the console(pressing F12 and clicking the console tab) in the inspect page if you want to see the training process...

Made By Franciscan Lads.