11%
30.01.2024
Dell Precision Workstation T7910
Power
1,300W
CPU
2x Intel Xeon Gold E5-2699 V4, 22 cores, 2.4GHz, 55MB of cache, LGA 2011-3
GPU, NPU
n/a*
Memory
11%
30.11.2025
. In the test scenario, I defined a backup schedule with the following settings:
Schedule: weekly
Daily full backup: Monday – Friday 20:00
Daily incremental backup: Monday – Friday 08:00--18:00, 30
11%
26.11.2012
you’re scrolling back through the data, and that’s exactly what the -t
parameter should do, with timestamps for each match in the form: YYYY/MM/DD HH:MM:SS.UUUUUU.
Flick a Switch
Before I look
11%
14.03.2013
: 0
16 initial apicid : 0
17 fdiv_bug : no
18 hlt_bug : no
19 f00f_bug : no
20 coma_bug : no
21 fpu : yes
22 fpu_exception : yes
23 cpuid level : 10
24 wp
11%
27.08.2014
.2% (53.2% cumulative)
20.1 GB 4.9% (58.0% cumulative)
22.4 GB 4.5% (62.5% cumulative)
24.6 GB 4.1% (66.7% cumulative)
26.8 GB 3.8% (70.5% cumulative)
29.1 GB 3.2% (73.7% cumulative)
31.3 GB 3.0% (76.6% cumulative)
33
11%
26.01.2025
/100
782/782 ???????????????????? 21s 12ms/step - accuracy: 0.3156 - loss: 2.1379 - val_accuracy: 0.4105 - val_loss: 1.7636
Epoch 2/100
782/782 ???????????????????? 2s 3ms/step - accuracy: 0.5481 - loss: 1
11%
07.10.2025
launched nary 20 years ago (Figure 1). Its underpowered early Atom CPU cannot support a modern graphical environment, but the intended use as a terminal in init 3 mode moots that concern entirely. Sadly, I
11%
10.12.2013
servers and sysadmins.
These levels of growth always sound absurd when peddled by analysts. Cisco predicts 50 billion devices by 2020 compared with 12.5 billion in 2012. To get some intuition about
11%
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
11%
17.02.2015
service_description PING
11 check_command check_ping!100.0,20%!500.0,60%
12 }
13 define service{
14 use generic-service ; Name of service template to use
15
