Admin Magazine
 
  • News
  •  
  • Articles
  •  
  • Tech Tools
  •  
  • Subscribe
  •  
  • Archive
  •  
  • Whitepapers
  •  
  • Digisub
  •  
  • Write for Us!
  •  
  • Newsletter
  •  
  • Shop
  • DevOps
  • Cloud Computing
  • Virtualization
  • HPC
  • Linux
  • Windows
  • Security
  • Monitoring
  • Databases
  • all Topics...
Search
Login
ADMIN Magazine on Facebook
GooglePlus

Search

Spell check suggestion: 谷歌seo优化【电报e1000】google代发推广.bad.0x00 ?

Refine your search
  • [x] Creation time: Last year
Sort order
  • Date
  • Score
Content type
  • Article (Print) (5)
  • Article (1)
Keywords
100%
Automating deployments on Proxmox with OpenTofu and cloud-init
04.12.2024
Home »  Articles  » 
Lead Image © lightwise, 123RF.com
the downloaded image to it qm create 100 --name openbsd-master --memory 1024 --agent 1,type=isa --scsihw virtio-scsi-single --boot order='scsi0' --net0 virtio,bridge=vmbr0 --serial0 socket --vga serial0 qm set 100
98%
Go testing frameworks
05.08.2024
Home »  Archive  »  2024  »  Issue 82: Sover...  » 
Lead Image © Lucy Baldwin, 123RF.com
known as row-major and column-major. Listing 2 column.go 01 package main 02 03 func main() { 04 05 const size = 10 06 07 var array = [size][size]int {{0},{0},} 08 09 for i := 0
95%
Keras: Getting Started with AI
03.12.2024
Home »  HPC  »  Articles  » 
convolutional layer. Convolutional filters number 64 instead of 32. The dropout rate has been increased to 0.5 (50%). Listing 4: Second Block model.add(layers.Conv2D(64, (3,3), padding
95%
Getting started with AI
26.01.2025
Home »  Archive  »  2025  »  Issue 85: Monit...  » 
Lead Image © Lightwise, 123RF.com
.add(layers.BatchNormalization()) model.add(layers.Conv2D(64, (3,3), padding='same', activation='relu')) model.add(layers.BatchNormalization()) model.add(layers.MaxPooling2D(pool_size=(2,2))) model.add(layers.Dropout(0.5)) input
90%
Getting your virtual machine dimensions right
04.12.2024
Home »  Archive  »  2024  »  Issue 84: Non-R...  » 
Photo by ROCCO STOPPOLONI on Unsplash
) network adapters, the VM is extremely large, and, say, 5.4TB of RAM needs to change locations. Now for the bad news: Even if the server does have a 100Gb adapter, you will still need to do a bit of v
84%
Flexible backup for large-scale environments
05.08.2024
Home »  Archive  »  2024  »  Issue 82: Sover...  » 
Photo by Nils Bouillard on Unsplash
-consuming task, which is why license models by volume or processor performance are not a good fit for university operations. The current hardware comprises two x86 servers running Solaris 11.4, which have access

Service

  • Article Code
  • Contact
  • Legal Notice
  • Privacy Policy
  • Glossary
    • Backup Test
© 2025 Linux New Media USA, LLC – Legal Notice