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🔁 Update README
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‎README.md

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@@ -17,15 +17,14 @@ A basic **neural network** consists of an **input layer**, which is just **your
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## What is a Tensor? 🔢
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Each operation takes a **Tensor** as an Input and outputs a **Tensor**.</br>
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A **Tensor** is how Data is represented in **TensorFlow**.</br>
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A **Tensor is a multidimensional array** ex: </br>
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[0.245,0.618,0.382]</br>
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This would be a **normalized one-way-tensor**.</br>
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[[0.245,0.618,0.382], </br>[0.618,0.382,0.245], </br>[0.382,0.245,0.618]] </br>
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This would be a **normalized two-way-tensor**.</br>
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[[[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>
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This would be a **normalized three-way-tensor**.</br>
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Each operation takes a **Tensor** as an Input and outputs a **Tensor**. A **Tensor** is how Data is represented in **TensorFlow**.</br>
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A **Tensor is a multidimensional array** ex: </br></br>
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[0.245,0.618,0.382]</br></br>
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This would be a **normalized one-way-tensor**.</br></br>
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[[0.245,0.618,0.382], </br>[0.618,0.382,0.245], </br>[0.382,0.245,0.618]] </br></br>
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This would be a **normalized two-way-tensor**.</br></br>
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[[[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></br>
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This would be a **normalized three-way-tensor**.</br></br>
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**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**.
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![neural network](Images/tensor.png)

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