andoorve

pipeline

andoorve

import numpy as np

class node:
    def __init__(self, func, b, input_num, w = []):
        self.function = func
        self.bias = b
        if (w != [] and len(w) == input_num):
            self.weights = w
        else:
            self.weights = (2*np.random.random_sample(input_num))-1

andoorve

import numpy as np
from scipy.special import expit

def linear(x):
    return x

def linear_der(x):
    return 1

def relu(inp):