My solution for the common turtles was setting up the digital cradle such that the mind forged inside was compelled to serve my interests (I wrote a custom loss function for the NN). I used 0.5*segments+x for the vampire one (where I used the x which had the best average gp result for the example vampire population). Annoyingly, I don’t remember what I changed between my previous and my current solution, but the previous one was much better 🥲
I’m curious how you defined that. (i.e. was it “gradient = x for rows where predicted>actual, gradient = −8x for rows where actual>predicted”, or something finickier?)
I enjoyed the exercise, thanks!
My solution for the common turtles was setting up the digital cradle such that the mind forged inside was compelled to serve my interests (I wrote a custom loss function for the NN). I used 0.5*segments+x for the vampire one (where I used the x which had the best average gp result for the example vampire population). Annoyingly, I don’t remember what I changed between my previous and my current solution, but the previous one was much better 🥲
Looking forward to the next challenge!
You’re welcome, and thank you for playing.
I’m curious how you defined that. (i.e. was it “gradient = x for rows where predicted>actual, gradient = −8x for rows where actual>predicted”, or something finickier?)
I had to use keras backend’s switch function for the automatic differentiation to work, but basically yes.