TensorFlow Tutorial 02 – Tensor Basics – Beginner Course




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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

Links:
https://www.tensorflow.org

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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 πŸ‘Œ

  • 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?

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