stewartpark

from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation
from keras.optimizers import SGD
import numpy as np 

X = np.array([[0,0],[0,1],[1,0],[1,1]])
y = np.array([[0],[1],[1],[0]])

model = Sequential()
model.add(Dense(8, input_dim=2))

djonsson

What is this?

Following this guide will set up a local Elasticsearch with Kibana and Marvel using Homebrew and Homebrew Cask

Prerequisites

If you already have Java installed on your system, skip steps Install Cask and Install Java

If you already have Java and Homebrew installed on your system, skip steps Prerequisites, start at Install Elasticsearch and Kibana after running $ brew update

Install Homebrew

• $ ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

frabad

#!/usr/bin/env python

import os
import subprocess
import sys

if len(sys.argv) != 2:
    sys.exit("Usage:\n\t%s <%s>" % (sys.argv[0], 'input_cuesheet'))

cuesheet_fname = sys.argv[1]