Thousands of years ago, probably around the invention of the wheel, and before the time of Solomon, humans must have been measuring various objects… calculating some distances, and wondering, is there a better way to measure how far around the outside of a wheel is compared to its diameter? Continue reading “Neural Networks Part 2: Learning Pi”
Kilometers, Centimeters… microfarads, farads… They units are all a multiple of 10, but that doesn’t make them that much easier as you are first learning them. What is 1.09km in cm? or 1205cm in km? With a quick jotted down note card you can very quickly see what any commonly used metric unit converts to!
If your area has other ham-radio operators that are using an AREDN network, an Ubiquity router is a great way to connect to the local LAN network. Note that you will need:
- An amateur radio license.
- An Ubiquity Nanostation* (the “loco“* one is cheaper but it has less range 🙁 )
- POE outlet to 2-ethernet adapter (included when you buy a new Nanostation)
- Two ethernet cables (You will want at least one outdoor-rated cable if you will put it outside, which will likely be necessary for good signal.)
Today we did some up-cycling of political ad signs. After elections these generally go in the trash, but Talent Maker City had a public event to build some cool stuff out of these corrugated plastic boards!
Keras is a library that makes machine learning easy to run and train without knowing too much of the math behind it. It has many tutorials including an excellent howto by Egghead.io, Pyimagesearch and of course the official documentation and books…
…but what if you want to look into the details of how it works? Neural networks are a series of functions that are adjusted over time, and we can “see” what happens in a simple example. Continue reading “Into Neural Networks! Part 1”
Looking for a fun way to hand out candies at your local harvest fair? In this howto I show how to use a wood frame and old computer/printer parts to build a robot candy thrower: