## TensorFlow Tutorial 02 – Tensor Basics – Beginner Course

New Tutorial series about TensorFlow 2! Learn all the basics you need to get started with this deep learning framework!

Part 02: Tensor Basics

In this part I show you how to use tensors. Tensors are the central object in the TensorFlow library. They are used to represent nd-arrays with GPU support and are designed to builds computational graphs and gradient calculations.

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Course material is available on GitHub:
https://github.com/python-engineer/tensorflow-course

Computational Graph + Backpropagation Tutorial:
https://youtu.be/3Kb0QS6z7WA

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### Comment List

• Python Engineer
November 28, 2020

Amazing stuff, can you do a similar guide on Keras as well please

• Python Engineer
November 28, 2020

Blackpropagation > if you black you never go back

• Python Engineer
November 28, 2020

so what is the different between numpy and tensorflow ?
and which is better i know we have keras in tensorflow for deep learning

• Python Engineer
November 28, 2020

Hello sir thank you for your awesome video ,
i have a question i saw that you code ML Algorithm from in python and numpy can you create sudo code of these type of algorithm like SVM, KNN so any person how don't know math symbol can easily see what is the calculation or step of algorithm

• Python Engineer
November 28, 2020

Excellent tutorial!

• Python Engineer
November 28, 2020

Nice π

• Python Engineer
November 28, 2020

Perfectt.. thank you

• Python Engineer
November 28, 2020

excellent teaching… I loved your example, slow and detail… look forward more training on tensor flow

• Python Engineer
November 28, 2020

Hi Patrick, Thanks a lot for such great videos.

• Python Engineer
November 28, 2020

Nice one….. Will you be dropping tensorflow videos everyday?