9%
03.02.2022
class BlazeDemoV1 extends Simulation {
08
09 var qualifiedhost = "http://blazedemo.com"
10 var proxyport = 0
11 var proxyhost = "not set"
12
13 // headers for HTTP call
14 val headers = Map(
15
9%
25.09.2023
-rf /var/lib/apt/lists/*
09
10 RUN >/etc/machine-id
11 RUN >/var/lib/dbus/machine-id
12
13 EXPOSE 22
14
15 RUN systemctl set-default multi-user.target
16 RUN systemctl mask dev-hugepages.mount sys
9%
30.01.2020
VPC:
04 Type: AWS::EC2::VPC
05 Properties:
06 CidrBlock:
07 Ref: VPCNet
08 Tags:
09 - Key: Name
10 Value:
11 Ref: VPCName
12
13 Forti
9%
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
9%
17.02.2015
back to the browser as a response to the HTTP request.
Web Server
Using the instructions in Listing 1, the developer first prepares the Apache web server on Ubuntu 12.04 for running the sample
9%
14.03.2013
/sbin/named ...
774 ?? SsJ 0:00,12 /usr/sbin/sshd ...
781 ?? IsJ 0:00,87 /usr/sbin/cron -s
...
The jls command lets you view all the currently active jails, as shown in Listing 6.
Listing 6
Active Jails
9%
21.03.2017
# ===================
09 #
10 if __name__ == '__main__':
11
12 f = h5py.File("mytestfile.hdf5", "w")
13
14 dset = f.create_dataset("mydataset", (100,), dtype='i')
15
16 dset[...] = np.arange(100)
17
9%
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
9%
19.10.2012
12-core AMD processors ranging in speed from 2.2 to 2.9GHz with 24 to 128GB of RAM per server and up to 1TB of scratch local storage per node.
Getting applications running POD HPC clouds can be quite
9%
27.09.2021
08 integer :: counter
09 integer :: counter_limit
10 integer :: ierr
11
12 type(rec) :: my_record
13
14 counter_limit = 2000
15
16 ierr = -1
17 open(unit=8,file
