22%
25.09.2023
14 if __name__ == '__main__':
15 app.run(host="0.0.0.0", port=5000)
Listing 4
my-app/webapp/Dockerfile
01 FROM python:3.11
02 WORKDIR /app
03 COPY . .
04 RUN pip install Flask
21%
29.10.2013
2013-05-08 20:25:11 INFO Created Auto Scaling group policy named: arn:aws:autoscaling:eu-west-1:894012917938:scalingPolicy:8bc35c42-856d-4848-8111-9ec4e4df0fcf:autoScalingGroupName/awseb-e-hxaxpp3bsa
21%
24.02.2022
.255.255.255 broadcast 0.0.0.0
inet6 fe80::bfd3:1a4b:f76b:872a prefixlen 64 scopeid 0x20
ether 42:01:0a:80:00:02 txqueuelen 1000 (Ethernet)
RX packets 11919 bytes 61663030 (58.8 Mi
21%
04.10.2018
[ec2-user@ip-172-31-20-189 ~]$ consul members
Node Address Status Type Build Protocol DC Segment
ip-172-31-16-22 172.31.16.22:8301 alive server 1.2.0 2
21%
07.04.2022
,BROADCAST,RUNNING,MULTICAST> mtu 1460
inet 10.0.0.2 netmask 255.255.255.255 broadcast 0.0.0.0
inet6 fe80::bfd3:1a4b:f76b:872a prefixlen 64 scopeid 0x20
ether 42:01:0a:80:00:02 txqueuelen 1000
21%
01.08.2019
:FORWARD ACCEPT [0:0]
05 :OUTPUT ACCEPT [125:13440]
06 -A INPUT -m state --state RELATED,ESTABLISHED -j ACCEPT
07 -A INPUT -p icmp -j ACCEPT
08 -A INPUT -i lo -j ACCEPT
09 -A INPUT -p tcp -m state --state
21%
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
21%
18.03.2020
compilers, version 19.10. Open MPI 3.1.3, which came prebuilt with the PGI compilers, was used in the tests.
The Docker-CE (Community Edition) v19.03.8 build afacb8b7f0, Ubuntu version (on which Linux Mint
21%
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
21%
18.06.2014
.30
37.42
168–252
3,578
0.92
38.34
252–365
4,970
1.28
39.62
365–504
2,324
0.60
40.22
504–730
3,270
0
