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Leigh Johnsons’s Guide to Machine Vision #piday #raspberrypi @Raspberry_Pi

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This article from Hackaday goes through Leigh Johnson’s work on the fundamentals of deep learning. Johnson presented this work at Hackaday Supercon and can viewed on YouTube.

Via Hackaday:

The talk is a very concise 13 minutes, so Leigh flies through definitions of basic terms, before quickly naming TensorFlow and Keras as the tools she used. The time she saved here was spent on explaining what convolutional neural networks are and how they work, just enough to prepare the audience. But all of that is really just background, the meat of the talk is self-contained examples that Leigh has put together and made available online. I love to see that since it means you go beyond just watching and try it out for yourself.

When Leigh started exploring, she didn’t find enough satisfactory end-to-end examples for TensorFlow machine vision on Raspberry Pi, so she created her own to share and help future people who find themselves in the same place. She said it is a work in progress, but given the rapid pace of advancement in this field, that disclaimer can honestly be applied to everything else out there too.

Read more

Watch the talk on YouTube

Check out the GitHub page for examples, slides and more!


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