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02.02.2021
dockerrepo.matrix.dev/gentoo-glibc:latest-amd64 && touch pushtime
Sending build context to Docker daemon 21.12MB
Step 1/2 : FROM dockerrepo.matrix.dev/gentoo-base:latest
---> 22fe37b24ebe
Step 2/2 : ADD
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30.01.2020
Furthermore, new SSH connections (ct state new) to port 22 will be allowed (tcp dport 22). Packets that belong to existing SSH connections are also allowed (ct state established,related) and are detected
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09.06.2018
[::]:* LISTEN
As you can see, only port 22 for SSH is open for incoming connections for both IPv4 and IPv6. If you are not (yet) using IPv6 on your network, you should disable it, because what good
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30.01.2024
. The following example assumes a system with Ubuntu 22.04.
To begin, you need to install some required software management packages (Listing 1, line 1); download the GPG key used to sign Docker's package lists
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02.03.2018
to process an API request and you have 100 measured values for this parameter, you would create a table with all 100 values in ascending order. If you want the 90th percentile, you take the first 90 percent
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14.08.2017
can only accomplish this by rolling back one of the two transactions ex post (i.e., after the commit). For example, suppose you have $100 in a joint bank account and two people want to withdraw $90
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05.12.2016
numbering 21,365 from a total of 24,135 were reproducible in Debian, which corresponds to an average of 88.5 percent in the individual branches. "Testing," with more than 90 percent, does better than
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03.02.2022
. For just under $90 you can acquire the Pro version, which lets you recover data. An alternative product is EaseUS Data Recovery Wizard for Mac [5], which can also search for recoverable files in the free
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03.12.2024
, MaxPooling
2D
:
model.add(layers.BatchNormalization())
model.add(layers.MaxPooling2D(pool_size=(2,2)))
A max pooling layer has a pool size, 2x2 in this case, that is used to scan the entire input image (left
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26.01.2025
this second 2D convolution layer, you have another batch normalization layer followed by a new layer type, MaxPooling2D:
model.add(layers.BatchNormalization())
model.add(layers.MaxPooling2D(pool_size=(2,2
