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🔁 Update README

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`@@ -14,7 +14,7 @@ A basic neural network consists of an input layer, which is just **your`
`14`	`14`	`Each operation takes a Tensor as an Input and outputs a Tensor.</br>`
`15`	`15`	`A Tensor is how Data is represented in TensorFlow.</br>`
`16`	`16`	`A Tensor is a multidimensional array ex: </br>`
`17`		`-([0.245,0.618,0.723], </br>[0.245,0.618,0.723], </br>[0.245,0.618,0.723]). </br>`
	`17`	`+([0.245,0.618,0.382], </br>[0.618,0.382,0.245], </br>[0.382,0.245,0.618]). </br>`
`18`	`18`	`This would be a normalized three-way-tensor.</br>`
`19`	`19`	`normalized in TensorFlow means that the numbers are converted to a value between 0 and 1. The Data needs to be normalized, to be actually useable in TensorFlow.`
`20`	`20`

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