Joshua is programming a neural network to analyze handicrafts submitted to a craft sale and determine what price they will sell for. He trains the network by putting the handicrafts in a series, from least to most complex, and presenting them to the network one at a time. Based on the previous prices in the series, the network guesses what the price of the next handicraft will be$.$ If it guesses wrong, it immediately corrects its connection weights. This is an example of:

Question $38$ options:

a$)$

Supervised learning

b$)$

Predictive coding

c$)$

Spreading activation

d$)$

Unsupervised learning