Difference between fitrnet and fitnet

When I first learn to use neural networks, I usually used nnstart toolbox, which uses fitnet. However, when I started actually to build my own neural networks with more layers and optimal hyperparameters, I found that R2021a introduced fitrnet that looks more powerful. I was wondering what is the difference between these two neural network functions.

Answer 1

[David Willingham]

Hi Alex,

In R2021a, SMLT introduced the fitting functions fitcnet and fitrnet, which train shallow classification and regression neural network models. If you'd like to customize the network, there is a newer framework for building shallow and deep neural networks. Here are 2 examples of how to do this:

Create Simple Deep Learning Network for Classification

Train Convolutional Neural Network for Regression

David

[Alex Liu]

Thank you so much, David!