フィルターのクリア

Training a multi-layer neural network for (tabular) BigData

1 回表示 (過去 30 日間)
Ramakrishnan Raman
Ramakrishnan Raman 2018 年 9 月 3 日
コメント済み: Giorgio De Nunzio 2020 年 4 月 25 日
How to train a multi-layer neural network (for instance, using feedforwardnet) using BigData (for instance, using TallArrays). Shouldn't it be supported to pass the tall array object containing features/target to the training function and have the training happen? The data input format is a simple tabular(matrix data) - i.e. not image or sequence or time series data
  1 件のコメント
Giorgio De Nunzio
Giorgio De Nunzio 2020 年 4 月 25 日
Hi, did you find how to work with neural networks and tall arrays? I am tryng now. Moreover, patternnet train wants features on the rows, not samples, and it is not possible to transpose tall arrays (mine are classical one-line-per-sample tables with each column giving a feature: I can transpose normal matrices, but not tall arrays). Thanks. Giorgio

サインインしてコメントする。

回答 (0 件)

製品


リリース

R2018a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by