Collection of my machine-learning stuff.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
machinelearning/lib/func.py

10 lines
274 B

import numpy as np
def sigmoid(x):
return 1/(1 + np.exp(-x))
def correctFunc(rgb): # generates the correct answer for the AI
return ( rgb[2], rgb[1], rgb[0] ) # basically invert the rgb values
def genRandomMatrix( x:int, y:int ):
return np.random.rand(x, y)