title: What is the default settings (e.g. hyperparameters) for MatLab's feedforwardnet?
body: <p>My code is very simple for one layer of 20 neurons:</p>
  <pre><code>FFNN = feedforwardnet(20);
  FFNN_trained = train(FFNN,x,y);
  </code></pre>
  <p>This can result in a very good performance in a few hundreds of epochs. I want to reproduce it in <code>Pytorch</code>, so I need to know the details, e.g. learning rate, activation function, optimizer, batch size, when to stop, etc. Also, the data splitting for training/validation/testing seems to be random in <code>feedforwardnet</code>.</p>
  <p>Where can I find these details for <code>feedforwardnet</code>? How to specify the training/validation/testing in <code>feedforwardnet</code>?</p>
  <p>Thank you for the help. I realise that the <a href="https://github.com/pytorch/pytorch/issues/51407" rel="nofollow noreferrer">levenberg-marquardt method is not available in Pytorch</a>.</p>