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I want to use Neural network algorithm over famous Iris dataset.

Iris dataset attributes names

  1. sepal length in cm

  2. sepal width in cm

  3. petal length in cm

  4. petal width in cm

Sample dataset:

5.1, 3.5, 1.4, 0.2
4.9, 3.0, 1.4, 0.2
4.7, 3.2, 1.3, 0.2
4.6, 3.1, 1.5, 0.2
5.0, 3.6, 1.4, 0.2
5.4, 3.9, 1.7, 0.4
4.6, 3.4, 1.4, 0.3
5.0, 3.4, 1.5, 0.2

enter image description here

If this is the main concept of Neural Network then what will be the input for Wᵀ and b?

I believe x would be a vector like

X = [5.1 4.9 ....

 3.5   3.0 ....
 
 1.4   1.4 ...

 0.2   0.2 .... ]

Please ignore my square bracket style as I did not find out vector styling big square bracket.

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