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.add(layers.BatchNormalization())
model.add(layers.Conv2D(32, (3,3), padding='same', activation='relu'))
model.add(layers.BatchNormalization())
model.add(layers.MaxPooling2D(pool_size=(2,2)))
model.add(layers.Dropout(0.3))
The next
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using?
07 1) ANSI Standard CRT
08 2) DEC VT100
09 3) PC Console
10 4) Sun Command Tool
11 5) Sun Workstation
12 6) X Terminal Emulator (xterms)
13 7) Other
14 Type the number of your choice
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subprocesses.
Listing 1
basic.py
01 #! /usr/bin/env python2.7
02
03 from multiprocessing import Process
04
05 def test(name):
06 print ' welcome ' + name + ' to multiprocessing!'
07
08
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.redhat.com/app/repo/RPM-GPG-KEY-redhat-beta
07 ggpkey=https://openshift.redhat.com/app/repo/RPM-GPG-KEY-redhat-release
08 enabled=1
09 gpgcheck=1
Next, yum install rhc downloads the client tools to the local machine. Before you can really
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#auto eth0
06 #iface eth0 inet dhcp
07 auto br0
08 iface br0 inet dhcp
09 bridge_ports eth0
10 bridge_stp off
11 bridge_maxwait 5
12 post-up /usr/sbin/brctl setfd br0 0
Next, create a directory
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141.20.108.124
07 active_checks_enabled 1
08 passive_checks_enabled 0
09 max_check_attempts 3
10 check_command check-host-alive
11
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], Fabric [3], or Capistrano [4], MCollective relies on middleware based on the publish/subscribe method to launch jobs on various nodes. The middleware supported by the framework can be any kind of STOMP
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, POP3, or DNS immediately after installation. The system is extensible thanks to configurable monitors, so administrators can quickly cook up a large collection of monitoring options that don't require
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: Grocery Store Checkout ***
06 *** Ver: PDQ Analyzer v3.0 111904 ***
07 *************************************
08 ****** RESOURCE Performance *******
09
10 Metric Resource Work Value Unit
11
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_shared_key "/etc/racoon/psk.txt";
02 remote 192.168.1.31 {
03 exchange_mode main;
04 proposal {
05 encryption_algorithm 3des;
06 hash_algorithm sha1;
07 authentication_algorithm pre_shared_key;
08
