what type of deep learning network?

I would like to ask about what the type of deep learning network using to train a network with numerical features the matlab example exist here

https://www.mathworks.com/help/deeplearning/ug/train-network-on-data-set-of-numeric-features.html

it uses the layers

layers = [
    featureInputLayer(numFeatures,Normalization="zscore")
    fullyConnectedLayer(50)
    batchNormalizationLayer
    reluLayer
    fullyConnectedLayer(numClasses)
    softmaxLayer];

what the type of this deep learning network?

I know that the types of deep learning network are:

1-Feedforward Neural Networks (FNN)

2-Convolutional Neural Networks (CNN)

3-Recurrent Neural Networks (RNN)

4-Long Short-Term Memory Networks (LSTM)

5-Gated Recurrent Unit (GRU)

6-Autoencoders

7-Generative Adversarial Networks (GAN)

8-Deep Belief Networks (DBN) and etc

I think that deep learning network is Feedforward Neural Networks (FNN).

if it true ?

I would like to know what the difference between the Neural Network (with code nftool in matlab) and that inserted deep learning network with the upbove code

[Matt J]

Note that your network categories are not mutually exclusive. For example, a network can be both convolutional and feedforward, or both both convolutional and recurrent.

Answer 1

[Matt J]

It is a feedforward neural network.

[MAB]

thanks alot for your response

I would like to know what the difference between the Neural Network (with code nftool in matlab) and that inserted deep learning network .

[Matt J]

nftool is not used for deep learning. It is used to build two-layer shallow networks only.