blooberr

import tensorflow as tf
from tensorflow.python.framework import ops
from tensorflow.python.ops import gen_nn_ops

@ops.RegisterGradient("GuidedRelu")
def _GuidedReluGrad(op, grad):
    return tf.select(0. < grad, gen_nn_ops._relu_grad(grad, op.outputs[0]), tf.zeros(grad.get_shape()))

if __name__ == '__main__':
    with tf.Session() as sess:

blooberr

from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.layers.normalization import BatchNormalization

#AlexNet with batch normalization in Keras 
#input image is 224x224

model = Sequential()
model.add(Convolution2D(64, 3, 11, 11, border_mode='full'))

blooberr

a = [5, 3, 2]
b = a

# should see [5,3,2]
puts b.inspect

a[0] = 7

# should see [7,3,2]
puts b.inspect

blooberr

/*
 * cv_utils.cpp
 *
 *  Created on: Dec 7, 2012
 *  	Author: tan
 *  Related blog post at:
 *	http://sidekick.windforwings.com/2012/12/opencv-separating-items-on-store-shelves.html
 *
 */

blooberr

class Card
  def initialize
  end

  def rank
    @rank
  end

  def rank=(r)
    # you can do other stuff in here

blooberr

class Card
  def initialize
    self.rank
  end

  def rank
    puts "hello"
  end
end

blooberr

#
# CORS header support
#
# One way to use this is by placing it into a file called "cors_support"
# under your Nginx configuration directory and placing the following
# statement inside your location block(s):
#
#   include cors_support;
#
# A limitation to this method is that Nginx doesn't currently send headers

blooberr

package main

import (
	"fmt"
	"log"
	"net/http"
	"time"
)

// Example SSE server in Golang.

blooberr

myhost = "localhost"

@es = Elasticsearch::Client.new host: myhost, port: 9200, log: true

@es.create index: "hello",
  type: "world",
  id: "someitem",
  body: {
    text: "yup",
    count: 1

blooberr

 results = @es.search(index: index_name,
            ignore_unavailable: true,
            body: {
              size: 0,
              query: {
                query_string: {
                  query: search_phrase
                }
              }
            })