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Neural Networks

Give two neurons different jobs

BOTIE

What can two neurons tell us about the same light pattern? Return the combined brightness first and the left-minus-right contrast second. Keep both responses together in that order.
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Context for this challenge

What can two neurons tell us about the same light pattern? Return the combined brightness first and the left-minus-right contrast second. Keep both responses together in that order.

Botie needs both total brightness and left-right contrast from the same two sensors. Keeping both responses avoids losing either kind of information.

Feed both sensor readings to a brightness calculation and a contrast calculation, then keep the outputs in the requested order.

Examples and results
Left light sensor
1
Right light sensor
3
Required result
  1. 04
  2. 1-2
Left light sensor
3
Right light sensor
2
Required result
  1. 05
  2. 11
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Assumptions and test precision

This is a small construction problem. The lesson explains the assumptions and the parts of the full method that this example leaves out. Numerical tests allow a difference of 0.001. Lists and structures must also have the right shape.

The stronger light moves to the right

This check uses the pieces from “Branch one light pattern into two responses”.

BOTIE

Keep both measurements from this light pattern: combined brightness first, then left-minus-right contrast. The sensor readings can be fractional.
Left light sensor
0.5
Right light sensor
2.5

Use a number, text, or an array matching the requested result. For a matrix, put each row in brackets. Saving your prediction runs your current construction on these inputs and checks the earlier examples too.

Build a construction in the workspace above first. This case will test those pieces.

Why can patterns with equal total brightness still need different downstream responses?

A layer carries multiple measurements of the input forward together.

This is a small construction problem. The lesson explains the assumptions and the parts of the full method that this example leaves out.

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