[Script Info] Title: [Events] Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text Dialogue: 0,0:00:00.89,0:00:06.33,Default,,0000,0000,0000,,The micro:bit machine learning tool lets you\Ntrain, test and improve a machine learning Dialogue: 0,0:00:06.33,0:00:10.22,Default,,0000,0000,0000,,model that can recognise different actions,\Nor movements. Dialogue: 0,0:00:10.22,0:00:13.33,Default,,0000,0000,0000,,Here’s a quick tour of how it works. Dialogue: 0,0:00:13.33,0:00:15.99,Default,,0000,0000,0000,,You’ll need two micro:bits. Dialogue: 0,0:00:15.99,0:00:19.61,Default,,0000,0000,0000,,You’ll hold or wear the first micro:bit. Dialogue: 0,0:00:19.61,0:00:27.25,Default,,0000,0000,0000,,Follow the instructions on screen for setting\Nup micro:bit 1. Dialogue: 0,0:00:27.25,0:00:30.37,Default,,0000,0000,0000,,Then unplug it and attach a battery pack. Dialogue: 0,0:00:30.37,0:00:37.46,Default,,0000,0000,0000,,If you have a wrist strap, you can attach\Nmicro:bit 1 to your arm. Dialogue: 0,0:00:37.46,0:00:41.73,Default,,0000,0000,0000,,The second micro:bit stays connected to your\Ncomputer with a USB cable. Dialogue: 0,0:00:41.73,0:00:47.35,Default,,0000,0000,0000,,Follow the instructions on screen for setting\Nup micro:bit 2. Dialogue: 0,0:00:47.35,0:00:54.36,Default,,0000,0000,0000,,At the bottom of the screen you’ll see live\Nmovement data from micro:bit 1’s\Naccelerometer sensor. Dialogue: 0,0:00:55.30,0:01:00.81,Default,,0000,0000,0000,,Each coloured line represents a different\Ndirection, or dimension, you’re moving the micro:bit in. Dialogue: 0,0:01:02.45,0:01:05.52,Default,,0000,0000,0000,,Step 1, add some data! Dialogue: 0,0:01:05.52,0:01:10.16,Default,,0000,0000,0000,,Decide which actions you want the micro:bit\Nmachine learning tool to recognise. Dialogue: 0,0:01:10.16,0:01:14.51,Default,,0000,0000,0000,,Clapping and waving are good ones to start\Nwith. Dialogue: 0,0:01:14.51,0:01:18.75,Default,,0000,0000,0000,,Name your first action, then start moving! Dialogue: 0,0:01:18.75,0:01:26.48,Default,,0000,0000,0000,,Click the red button to collect your first\Nsample of data. Dialogue: 0,0:01:26.48,0:01:34.66,Default,,0000,0000,0000,,Collect at least three samples\Nof your first action. Dialogue: 0,0:01:34.66,0:01:43.65,Default,,0000,0000,0000,,And do the same for at least one other action. Dialogue: 0,0:01:43.65,0:01:46.19,Default,,0000,0000,0000,,Step 2, train the model. Dialogue: 0,0:01:46.19,0:01:51.56,Default,,0000,0000,0000,,This means that the machine learning tool\Nmakes a set of rules to estimate which action Dialogue: 0,0:01:51.56,0:01:56.69,Default,,0000,0000,0000,,you’re doing when moving micro:bit 1. Dialogue: 0,0:01:56.69,0:01:59.84,Default,,0000,0000,0000,,Step 3, test the model. Dialogue: 0,0:01:59.84,0:02:02.29,Default,,0000,0000,0000,,Try making each of your actions. Dialogue: 0,0:02:02.29,0:02:07.64,Default,,0000,0000,0000,,The screen shows which action the model estimates\Nthat you’re making. Dialogue: 0,0:02:07.64,0:02:14.31,Default,,0000,0000,0000,,The percentage number is how confident, or\Nsure, the model is. Dialogue: 0,0:02:14.31,0:02:20.51,Default,,0000,0000,0000,,Now try it yourself and see what different movements you can train the micro:bit machine learning tool to recognise.