🔁 Update README

Author: IDouble

README.md

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 # 🐍 AI Deep Learning TensorFlow Python 🐍
 🐍 **Deep Learning** with **TensorFlow** 🐍
 
-Learning **Deep Learning** with the Tutorials from Sentdex and Siraj Raval.</br>
-Link(Sentdex): https://pythonprogramming.net/introduction-deep-learning-python-tensorflow-keras/ </br>
-Link(Siraj Raval): https://www.youtube.com/watch?v=2FmcHiLCwTU
+Learning **AI Deep Learning** / **Machine Learning**.</br>
 
 ## What is a neural network?
 
 A basic **neural network** consists of an **input layer**, which is just **your data, in numerical form**. After your **input layer**, you will have some number of what are called **"hidden" layers**. **A hidden layer** is just in between your input and output layers.</br> ***One hidden layer means you just have a neural network. Two or more hidden layers? you've got a deep neural network!***
 
 ![neural network](Images/artificial-neural-network-model.png)
+
+## What is a Tensor?
+
+Each operation takes a **Tensor** as an Input and outputs a **Tensor**.</br>
+A **Tensor** is how Data is represented in **TensorFlow**.</br>
+A **Tensor is a multidimensional array** ex: </br>
+([0.245,0.618,0.723], </br>[0.245,0.618,0.723], </br>[0.245,0.618,0.723]). </br>
+This would be a **normalized three-way-tensor**.</br>
+**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**.
+
+![neural network](Images/tensor.png)
+
+## Resources & Links:
+Deep Learning: https://pythonprogramming.net/introduction-deep-learning-python-tensorflow-keras/ </br>
+TensorFlow Overview: https://www.youtube.com/watch?v=2FmcHiLCwTU