Track quiz
Show on a big screenEight lessons, one line each. Keep the table open while you answer.
| Idea | The line to keep |
|---|---|
| Holding a rule instead | One guesser keeps the examples and one keeps a rule of numbers. Each answers the same stated day from what it kept. |
| The weighted sum | Each input is scaled by its own weight. The scaled values add into one sum. |
| The line it crosses | The sum is compared to one threshold. At it or past it, the rule calls. Under it, it waits. |
| Measuring one wrong | The missed count needs its denominator. It comes from a real walk over the kept-back days. |
| Nudging the weights | One learning step moves each weight. It moves by the nudge times its own input. The move goes toward the right answer. |
| Counting what moved | Guess, compare, count, nudge, again. A count over a few days can hide what a nudge broke. |
| Write the sum yourself | The weighted sum and the comparison are two short functions. At or past it says call. The day the sum equals the threshold says call. |
| What the word neural buys | A neuron here is one unit. It adds inputs times weights, then compares the sum to a threshold. A network is many units joined. This track built one unit. |
The pile and the rule answer the same day. What does each one keep?
The gauge weight is 6. What does that number do?
Gauge 5, days 3, weights 6 and 4. What is the weighted sum?
The threshold is 40, and a day's sum is exactly 40. What does the rule say?
In this track's learning step, what happens to the threshold?
The count is the rule missing 2 of the 4 kept-back days. Why say "of 4"?
Gauge 6, days 0, and the rule waits when the caretaker called. Which weight moves?
The rule says call and the caretaker's word is wait. Which way do the weights move?
One nudge cuts the kept-back misses from 2 to 1. Misses on all 12 days go from 2 to 3. What does that show?
The log holds gauge 5, days 3 with the word call. The same numbers also carry the word wait. What follows?
Why does "missed 0 of 1 day just learned" look too kind?
In your weightedSum function, what should an empty inputs list return?
Your decide function uses a strict "greater than". Which day catches it?
In a textbook network drawing, which layer takes in the data?
What is the honest, one-line description of what this term built?
Assertion (A): Some two weights get every day of the log right. Reason (R): Two log days share inputs but carry different words. What is right?
That is the whole track: two weights, one line to cross. And the nudge that moved them both.
You watched a rule change, and made it change yourself. Your next track is AI Ethics & Society. It asks who set the weights, and who a guess affects.
Reveal every answer to finish this lesson.