13%
10.06.2014
"ram": 2048,
07 "resolvers": ["192.168.111.254"],
08 "disks": [
09 {
10 "image_uuid": "1fc068b0-13b0-11e2-9f4e-2f3f6a96d9bc",
11 "boot": true,
12 "model": "virtio"
13 }
14
13%
26.01.2025
.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
13%
27.09.2021
.170
17.75
Xenial (16.04)
ami-0133407e358cc1af0
9.300
7.001
16.301
Bionic (18.04)
ami-0186d369d234b536f
12.946
5.608
18.554
Focal
13%
09.04.2019
. To access this, set up a port forward for Jaeger from kubectl on your local machine:
kubectl port-forward -n istio-system $(kubectl get pod -n istio-system -l app=jaeger -o jsonpath='{.items[0].metadata
13%
03.04.2024
are collected:
# Hadolint
# template: docker
hadolint_nb_reports=0
for file in ${DEFECTDOJO_HADOLINT_REPORTS}
do
if [[ $(expr "$file" : '.*\*.*') == 0 ]] && [[ -f "$file
13%
20.06.2022
$MailboxesTotal++
32
33 [...]
34
35 $nTimeout = 0
36 while ((Get-MailboxExportRequest -Mailbox $Mailbox).Status -ne "Completed") {
37 Start-Sleep -s 2
38 $nTimeout += 2
39 if ($nTimeout % 60
13%
03.12.2024
(pool_size=(2,2)))
model.add(layers.Dropout(0.3))
The next size layers of the model (Listing 4) are the same except for some small changes:
input_shape
does not need to be specified in the first 2D
13%
14.03.2013
will be using the Mongo shell to create a document (Listing 1).
Listing 1
Test
01 # mongo
02 MongoDB shell version: 2.2.0
03 connecting to: test
04 > use football
05 switched to db football
06 > db
13%
30.11.2020
Service.Credentials = New-Object Microsoft.Exchange.WebServices.Data.WebCredentials($Mailbox,$Password,$Domain)
11 $ExchangeService.Url = $EwsURL
12 $offset = 0
13 Do {
14 $ItemView = New-Object Microsoft
13%
13.02.2017
of around 250MB to Amazon's S3 storage very effectively. A number of successful container technologies have been used extensively in the past, including LXC, Solaris Zones, and FreeBSD jails, to name
