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Day 10! We are into the second digits and past the 10% mark of the challenge now.
Things are going well for the moment, but it is a *teensy* bit of a grind with collecting and editing data.
PS: I forgot to mention that I'm editing the clips using Quicktime!
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Day 9 and the time is flying! The data grind has begun, and I am now in a fairly repetitive process of fetching data from Instagram, organising it, editing it, and preparing it to be fed into CreateML to train the classifier.
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It is day 8, and a bit of a late upload for me as I have taken a full day off to go and visit a waterfall with some friends.
Reflecting on this, I've realised that some problems can be easily solved simply with some time completely away from the keyboard. AFK works wonders!
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Who has the best machine learning platform... Google, Amazon, or Apple? In this episode I talk about the challenges to designing a machine learning solution, from data to platforms, to training, to model types.
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Day 6 is done, and I've been procrastinating!
In this episode I talk about why Instagram blocked me, and how I've been gathering data to train my machine learning model.
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Day 5, and I've stopped writing code in order to get back on the research bandwagon! My next task is to build a classifier that takes in the arrays of keypoint data, and understands what they mean in terms of a posture.
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One project reset, and a rethink about what I was doing wrong, and I now have the demo working, delivering pose estimations to my console.
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Hey everyone! It was a short time between recordings, so in this episode I'm talking less about my app development, and more about my learning resources and overall strategy to optimise my learning speed.
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It's Sunday, and I took it easy today. I recorded this late in the afternoon.
Day 2 was riddled with frustration as I wrestled with why "import coolFunction from coolPackage" doesn't work in the browser.
In this episode I talk about the dot-point-learnings I had from the previous day, and the major theme of my learning arc right now - node packages.
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Hey everyone, in this episode, I talk about:
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