Neural Network Playground
Configuration
The neural network here is to solve classification problem. The dataset that is used here is logical OR with features x1 and x2. Below is truth table of OR, You can edit it all you want though. Put epoch as high as you want, overfitting here is good since ALL possible data is already defined in the dataset (that is if you haven't edited it).
| Dataset | ||
|---|---|---|
| X1 | X2 | Y |
| Parameters | ||||
|---|---|---|---|---|
| learning rate | epoch | hidden neurons | hidden layers | biases |
| 1 | none | |||
Training
Error: N/A
Epoch: N/A
| X1 | X2 | expected Y | predicted Y |
|---|---|---|---|
| 0 | 0 | ||
| 0 | 1 | ||
| 1 | 0 | ||
| 1 | 1 |
| Matrices | ||||
|---|---|---|---|---|
| input layer | weight 1 | hidden layer | weight 2 | output layer |
|
[ ]
[ ]
[ ]
[ ]
|
[0 0 0]
[0 0 0]
|
[0 0 0]
[0 0 0]
[0 0 0]
[0 0 0]
|
[0 0]
[0 0]
[0 0]
|
[0 0]
[0 0]
[0 0]
[0 0]
|
Testing
This is a live testing, you can do it before or after the training process ends. Type in an input on the text input with blue underline.About this playground
There are many things that I haven't implemented here like bias or adding neurons or hidden layers and many more. If you wish to contribute, please pull request this repository.