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(For Fun) How many pages of the Perceptron problem you left untouched?

If you left 5 pages, you are normal.
If you left 4 pages l, you are smart.
If you left 3 pages, you are exceptional.
If you left 2 pages, you are a hero.
If you left 1 page, you are divine.
If you left 0 pages, then you must be Nicholas.

Normal person here, 5 virgin pages :)

Super normal, 5 pages without a scratch of a pen 馃槀

3 pages and a half, with the half being an arrow connecting it to the only pages touched ^^

Nicholas here. I can't say anything on the quality of my work though.

0 pog

I left 6 you n00bs

@Anonymous said:
I left 6 you n00bs

The exam left me (my dreams and pride too though)

It's sad when you're considering that our brains essentially are multi layer perceptrons

my positivity is gone

@Anonymous said:
It's sad when you're considering that our brains essentially are multi layer perceptrons

Just had not enough trainingsteps t.

Wrote for everything something but tbh it's bullshit.

tumblr_570a44d58399d1007e3c76bbfb4c261e_0aac397d_1280.jpg

You can find more photos and info on the perceptron's inventor Frank Rosenblatt here: https://news.cornell.edu/stories/2019/09/professors-perceptron-paved-way-ai-60-years-too-soon !

The proof of convergence is due to Novikoff (see original paper here)

1 page empty here, but honestly found these easier than the mpc questions this year. They fucked me over real good

@nicolas said:
tumblr_570a44d58399d1007e3c76bbfb4c261e_0aac397d_1280.jpg

You can find more photos and info on the perceptron's inventor Frank Rosenblatt here: https://news.cornell.edu/stories/2019/09/professors-perceptron-paved-way-ai-60-years-too-soon !

The proof of convergence is due to Novikoff (see original paper here)

Me vs Novikoff : https://youtu.be/EDbSi5cN63U

Anyone remember the professor hinted about this algorithm in the very first lecture? (A cheap way to update w). It鈥檚 around 20:00 in the first lecture if anyone is interested. https://youtu.be/sMdBRa_3zcs

@Anonymous said:
Anyone remember the professor hinted about this algorithm in the very first lecture? (A cheap way to update w)

Damn we got ML lore

I left 0 pages, I filled them all... with tears!

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