I don't understand what can help me explain 'biases', can anyone help me?
what does this output in the terminal mean?
and why is there so much data if my list has only 3 elements?
I'm new to programming, sorry
import random
import numpy as np
sizes=[5,12,18]
biases = [np.random.randn(y, 1) for y in sizes[1:]]
print(biases)
Output:
[array([[-0.34096409],
[ 0.71416149],
[ 0.46116949],
[-0.0085154 ],
[-1.14376602],
[ 1.31237993],
[ 1.05157063],
[ 0.01336067],
[-0.62518396],
[-0.36973332],
[-2.15854055],
[ 0.65925235]]), array([[-0.79280421],
[ 0.45561691],
[ 1.33646115],
[-0.0326803 ],
[ 0.770597 ],
[-0.49923431],
[ 1.30580436],
[-0.89544573],
[ 1.23266028],
[-0.06647325],
[ 1.30798641],
[ 0.06567199],
[-0.07953561],
[ 0.58575021],
[-0.85417039],
[ 0.68328533],
[-1.88466084],
[-0.88627766]])]
Process finished with exit code 0