jainakshansh

#!/usr/bin/env bash

# Name variables.
ENVIRONMENT=$1
SLACK_TITLE=$2

# Safety checks. Exiting if the parameters are not passed.
if [[ -z "$ENVIRONMENT" ]]; then
    echo "Need environment data. Choose from: Debug, Release, etc."
    exit 1

jainakshansh

import numpy as np


def cross_entropy(Y, P):
    Y = np.float_(Y)
    P = np.float_(P)
    return -np.sum(Y * np.log(P) + (1 - Y) * np.log(1 - P))


Y = [1, 0, 1, 1]

jainakshansh

import numpy as np


def softmax(L):
    expL = np.exp(L)
    sumExpL = sum(expL)
    result = []
    for i in expL:
        result.append(i * 1.0 / sumExpL)
    return result

jainakshansh

import numpy as np

# What does numpy.random.seed() do? - https://stackoverflow.com/questions/21494489/what-does-numpy-random-seed0-do
np.random.seed(42)


def stepFunction(t):
    if t >= 0:
        return 1
    return 0