TensorFlow Tutorial 03 – First Neural Network (Training, Evaluation & Prediction)




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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 03: First Neural Network (+ Training, Evaluation & Prediction)

In this part we build our first deep neural network using the keras Sequential API. We learn how to build a model, how to train and evaluate the model, and how to make predictions with the model.

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

Softmax + Crossentropy:
https://youtu.be/7q7E91pHoW4

Activation Functions:
https://youtu.be/3t9lZM7SS7k

Deep Learning Fundamentals playlist (deeplizard channel):
https://www.youtube.com/playlist?list=PLZbbT5o_s2xq7LwI2y8_QtvuXZedL6tQU

Links:
https://www.tensorflow.org

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Comment List

  • Python Engineer
    December 20, 2020

    Super .. one of the best I have seen ..

  • Python Engineer
    December 20, 2020

    Thanks for posting these man!

  • Python Engineer
    December 20, 2020

    This is so good.

  • Python Engineer
    December 20, 2020

    I adore your video! Your video was suggested so I checked it out. Thought I'd show some love πŸ’— I have a channel too. If you could take a look that would be awesome! 🧑

  • Python Engineer
    December 20, 2020

    Been following you tutorial since pytorch.
    I would nominate you as the best lecturer if youtube have one… =)

    Perhaps you could make a video on how you actually learn and understand the concept so clearly!

    Thanks a lot!

  • Python Engineer
    December 20, 2020

    Great tutorial!

  • Python Engineer
    December 20, 2020

    really good tutorials man .. keep up the great work

  • Python Engineer
    December 20, 2020

    Great video Patrick

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