Neural Networks and Python: Image Classification — Part 1




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General Description:
In this series of videos, we will be using the TensorFlow Python module to construct a neural network that classifies whether a given image of an article of clothing

We will be obtaining image data from the Fashion MNIST dataset. The intent of these videos is to showcase the use of TensorFlow as well as showing a simple example of how to construct and use a simple neural network.

This video is part of a series on Machine Learning in Python. The link to the playlist may be accessed here:
http://bit.ly/lp_mlearn

Part 1: https://youtu.be/4jDAKS2V3jY
Part 2: https://youtu.be/57sdqEd48Fc
Part 3: https://youtu.be/Fv1cvFEYPwA

Python Code:
https://github.com/vprusso/youtube_tutorials/blob/master/machine_learning/image_classification/fashion_mnist.py

Fashion MNIST Dataset:
https://github.com/zalandoresearch/fashion-mnist

Do you like the development environment I’m using in this video? It’s a customized version of vim that’s enhanced for Python development. If you want to see how I set up my vim, I have a series on this here:
http://bit.ly/lp_vim

== Support and Subscribe==
If I’ve helped you, feel free to buy me a beer 🙂
PayPal: https://www.paypal.me/VincentRusso1

If you’ve found this video helpful and want to stay up-to-date with the latest videos posted on this channel, please subscribe:
http://bit.ly/lp_subscribe

== Video Sponsor==
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#tensorflow #pythondev #machinelearning

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One Comment

  • LucidProgramming
    November 23, 2020

    Good to see you have a sponsor 🙂

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