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`@@ -20,7 +20,11 @@ A basic neural network consists of an input layer, which is just **your`
`20`	`20`	`Each operation takes a Tensor as an Input and outputs a Tensor.</br>`
`21`	`21`	`A Tensor is how Data is represented in TensorFlow.</br>`
`22`	`22`	`A Tensor is a multidimensional array ex: </br>`
`23`		`-([0.245,0.618,0.382], </br>[0.618,0.382,0.245], </br>[0.382,0.245,0.618]). </br>`
	`23`	`+[0.245,0.618,0.382]</br>`
	`24`	`+This would be a normalized one-way-tensor.</br>`
	`25`	`+[[0.245,0.618,0.382], </br>[0.618,0.382,0.245], </br>[0.382,0.245,0.618]] </br>`
	`26`	`+This would be a normalized two-way-tensor.</br>`
	`27`	`+[[[0.245,0.618,0.382],[0.618,0.382,0.245],[0.382,0.245,0.618]], </br>[[0.245,0.618,0.382],[0.618,0.382,0.245],[0.382,0.245,0.618]], </br>[[0.245,0.618,0.382],[0.618,0.382,0.245],[0.382,0.245,0.618]]] </br>`
`24`	`28`	`This would be a normalized three-way-tensor.</br>`
`25`	`29`	`normalized in TensorFlow means that the numbers are converted to a value between 0 and 1.</br> The Data needs to be normalized, to be actually useable in TensorFlow.`
`26`	`30`

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