Training samples (x, y)
Instructions:
This tool builds neural networks that: 1) encode features from data; 2) decode data from features.
- Upload a table* of sample source data. These examples will train the network. Specify whether each feature is a row or column in the table and click Submit.
- The trained network opens in a new page, where you can a) run the encoder/decoder,
and b) export it as computer code for use in your own programs.
* Sample table must be a fully numeric,
comma-separated .csv file with no empty fields.
Max allowed: 100 kB file size, 1000 rows/columns, 1 header row/column.
Generation time limited to 1 sec.