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:

Python Code:

Fashion MNIST Dataset:

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:

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Hi can u make a video on food classification. How can u extract the label of a classified image when working with a large dataset? I would like to classify food image and recommend recipes based on the label identified but I am not understanding how to do this. I WOULD kindly ask a tutorial on this matter. There is barely information on food related projects plz

woonie