kiki67100

import numpy as np
from keras.models import Sequential
from keras.layers import Dense

# dataset 
trainX = np.array([1, 2 ,3 ,4 , 5 , 6 , 7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24])
trainY = np.array([3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 36, 39, 42, 45, 48, 51, 54, 57, 60, 63, 66, 69, 72])

# create a model
model = Sequential()

kiki67100

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))

kiki67100

## based on the blogpost here: http://blog.sjas.de/posts/colored-iptables-output.html

iptables --line-numbers -vnL |\
  sed -E 's/^Chain.*$/\x1b[4m&\x1b[0m/' |\
  sed -E 's/^num.*/\x1b[33m&\x1b[0m/' |\
  sed -E '/([^y] )((REJECT|DROP))/s//\1\x1b[31m\3\x1b[0m/' |\
  sed -E '/([^y] )(ACCEPT)/s//\1\x1b[32m\2\x1b[0m/' |\
  sed -E '/([ds]pt[s]?:)([[:digit:]]+(:[[:digit:]]+)?)/s//\1\x1b[33;1m\2\x1b[0m/' |\
  sed -E '/([[:digit:]]{1,3}\.){3}[[:digit:]]{1,3}(\/([[:digit:]]){1,3}){0,1}/s//\x1b[36;1m&\x1b[0m/g' |\
  sed -E '/([^n] )(LOGDROP)/s//\1\x1b[33;1m\2\x1b[0m/'|\

kiki67100

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