markuman

from numpy import exp, array, random, dot


class NeuronLayer():
    def __init__(self, number_of_neurons, number_of_inputs_per_neuron):
        self.synaptic_weights = 2 * random.random((number_of_inputs_per_neuron, number_of_neurons)) - 1


class NeuralNetwork():
    def __init__(self, layer1, layer2):

markuman

#!/bin/sh

##
# Install autoconf, automake and libtool smoothly on Mac OS X.
# Newer versions of these libraries are available and may work better on OS X
#
# This script is originally from http://jsdelfino.blogspot.com.au/2012/08/autoconf-and-automake-on-mac-os-x.html
#

export build=~/devtools # or wherever you'd like to build

markuman

@-moz-document domain(twitter.com) {

.HeartAnimationContainer {
    visibility: hidden;
}
.HeartAnimationContainer:after {
    content: '🍔';
    visibility: visible;
    display: block;
    position: absolute;

markuman

#! /usr/bin/env python

import redis
import random
import pylibmc
import sys

r = redis.Redis(host = 'localhost', port = 6389)
mc = pylibmc.Client(['localhost:11222'])