Hi Anas,
Yes, deep learning can be applied to non-sequential data for regression tasks. MATLAB's Deep Learning Toolbox offers a variety of models and functions that can be effectively utilized for this purpose.
Here are some models you can consider for regression tasks:
- Feedforward Neural Network: These are fundamental neural networks where connections between nodes do not form loops. They are particularly well-suited for handling regression tasks with non-sequential data.
- Convolutional Neural Network: Although typically used for image data, these networks can also be adapted for regression tasks.
You can refer to the resources below for more information:
- https://www.mathworks.com/help/releases/R2019b/deeplearning/ref/feedforwardnet.html
- https://www.mathworks.com/help/releases/R2019b/deeplearning/ug/introduction-to-convolutional-neural-networks.html
- https://www.mathworks.com/help/releases/R2019b/deeplearning/examples/train-a-convolutional-neural-network-for-regression.html
Hope this helps!!
