Neural Networks and Deep Learning VS AirDroid Business

Neural Networks and Deep Learning Reviews

AirDroid Business Reviews

1. Mark Lee    

   Director of IT Operations at Wise Consulting | over 1 year ago
   Easy mobile device management for IT managers

   It really offers a lot of management and security control over android devices and also comes with a quite impressive remote control feature to allow us IT managers to provide remote support and troubleshooting immediately when needed. I think the company is a relatively newer compare to other mdm providers but they have been updating and adding new features quite actively and are always open to take customer's advices for improvements. I'd recommend to give it a try.

   🏁 Competitors: Scalefusion MDM Software, ManageEngine Mobile Device Manager Plus, Hexnode MDM, Esper.io

   👍 Pros:    Advanced features|Great customer support|Affordable price|Easy to setup
2. Andrew Meyer    

   Project Manager at Intelligent Marketing, Inc. | over 1 year ago
   Customer Service and Support At Its Best

   Helps us prevent device misuses, ensure device security, and allow us to remotely troubleshooting our customer's devices when it's not working properly. The easy enrollment and the kiosk mode makes manaing device usage a lot easier and secure, especially for customer-facing and interactive devices, we can set rules and restrictions to prevent end-users from exiting kiosk.

   🏁 Competitors: Scalefusion MDM Software, ManageEngine Mobile Device Manager Plus, Esper.io, TeamViewer, Splashtop Business Access

   👍 Pros:    Easy to use|Easy user interface|Good customer service|Excellent features|Affordable price
3. Tyler Mill    

   IT operator | over 1 year ago

   Great customer service and tech support, they sure are knowledgeable of their software and have been really helpful.

Neural Networks and Deep Learning mentions (44)

• How do I begin building AI tools for myself?

  For neural network theory, I'm very fond of http://neuralnetworksanddeeplearning.com, but you'll need calculus and some linear algebra to understand it. Source: 5 months ago

• What would be a project oriented roadmap to learn ML, deep learning (assuming I know Python and the required math - calculus, linear algebra and stats)?

  Alternatively, building them from scratch in numpy is definitely possible and an excellent way to learn the fundamentals. It will take some time though (debugging issues with a hand-rolled LSTM is very, very painful). There's a zillion tutorials/books out there (I think I started with http://neuralnetworksanddeeplearning.com). Source: 5 months ago

• Ask HN: In 2023 which is the best path to learn machine and deep learning?

  - http://neuralnetworksanddeeplearning.com/ The Watch the Caltech telecourse. - Source: Hacker News / 8 months ago

• Ask HN: What books or courses do you know similar to "From Nand to Tetris"?

  Neural Networks and Deep Learning, a free online book. http://neuralnetworksanddeeplearning.com/. - Source: Hacker News / 9 months ago

• Why Do ML on the Erlang VM?

  Many years ago I was studying deep learning using this resource: * http://neuralnetworksanddeeplearning.com/ I decided to try to implement everything from scratch in Elixir (after initially doing all the math with pen and paper on a trivial example to get the feel of it). Obviously pure elixir was extremely slow, so I started creating NIFs to pass over matrix multiplication to OpenBLAS. Then I was thinking more... - Source: Hacker News / 11 months ago

AirDroid Business mentions (0)