Produce a Microbit python neural network 2: Building a Physical Microbit Neural Network

This is second in a two-post series on building a neural network using microbits with micropython. In the first post python was used to produce a neural network without the microbits. In this post the network is as shown in figure 1 is developed.

The figure below shows the arrangement of the connections to be built; pin 2 is the output of each neuron. The two micro:bits/neurons on the left of the picture taking in the two same inputs; the output from these neurons are the two inputs to the output neuron on the right.

figure 1

The micro:bit objects used in Figure 1 were produced using the micro:bit Fritzing diagram available at https://github.com/microbit-foundation/dev-docs/issues/36 thanks to David Whale (@whalleygeek ) for this.

The Inputs neurons

Neuron 1:

from microbit import *

W=[-1,-1,1]

while True:
    x1=pin0.read_digital()
    x2=pin1.read_digital()
    net = W[0]+W[1]*x1+W[2]*x2
    if net>=0:
        display.scroll("T")
        pin2.write_digital(1)
    else:
        display.scroll("F")

        pin2.write_digital(0)


Neuron 2
from microbit import *

W=[-1,1,-1]

while True:
    x1=pin0.read_digital()
    x2=pin1.read_digital()
    net = W[0]+W[1]*x1+W[2]*x2
    if net>=0:
        display.scroll("T")
        pin2.write_digital(1)
    else:
        display.scroll("F")

        pin2.write_digital(0)



Output Neuron.
Feeding the inputs from Neuron 1 and Neuron 2 as inputs
from microbit import *

W=[-1,1,1]

while True:
    x1=pin0.read_digital()
    x2=pin1.read_digital()
    net = W[0]+W[1]*x1+W[2]*x2
    if net>=0:
        display.scroll("T")
        pin2.write_digital(1)
    else:
        display.scroll("F")
        pin2.write_digital(0)

All opinions in this blog are the Author's and should not in any way be seen as reflecting the views of any organisation the Author has any association with. Twitter @scottturneruon