Archive of posts filed under the Computer category.

Mailbox Quota einsehen und ändern bei Plesk

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Bei Plesk Obsidian Web Admin Edition 18.* werden die Subscription-Mailbox Quotas nicht immer richtig im UI angezeigt. Das kann zu Verwirrung führen. Die richtigen Werte können mittels Plesk CLI ermittelt werden: plesk db “SELECT concat(mail.mail_name,’@’,domains.name) AS ‘Email address’,mn_param.val AS ‘Mailbox usage’,Limits.value AS ‘Mailbox limit’ FROM mail LEFT JOIN mn_param ON mail.id=mn_param.mn_id LEFT JOIN domains ON …

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VMWare Player, Ubuntu und EFI-Boot

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Standardmäßig wird eine neue VMWare-Instanz im VMWare Player als Legacy-BIOS-Boot-Version angelegt. Das führt dazu, daß wenn man Ubuntu direkt installiert, dann wird kein EFI-Bootloader installiert. Oftmals ist das nicht weiter problematisch – in manchen Fällen kann es aber zu Schwierigkeiten kommen. Als ein Beispiel sei https://communities.vmware.com/t5/VMware-Workstation-Pro/How-to-give-focus-to-the-guest-OS-without-a-mouse/td-p/2281123 genannt. Eine bereits installierte VMWare-Ubuntu-Installation kann nachträglich zu einer …

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Git LFS Probleme analysieren

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Wenn man Probleme mit git-lfs hat und z. B. ein Fehler kommt, daß der Hostkey (von github.com) nicht mehr akzeptiert wird, dann kann man mittels Setzen der Umgebungsvariablen GIT_TRACE=1 GIT_CURL_VERBOSE=1 anzeigen lassen, was bei einem git lfs-Kommando (z. B. git lfs push origin master –all) so alles passiert. Quelle: https://github.com/git-lfs/git-lfs/issues/2791#issuecomment-352536265

Tic-Tac-Toe and AI: Stacked Multi-Output Model (Part 6)

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In our previous blog, we saw that it is possible to provide multiple outputs, each one for a specific use case. So far, the two binary use cases, winning and winner, and the categorical use case, move, do not have any mutual dependencies between them: Their result are all derived from the original inputs. Let’s …

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Tic-Tac-Toe and AI: Wrapping Up the Four Models – Multi-Output (Part 5)

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As we have seen in the blog posts before, determining whether a board has a winner, determining which player the winner is, and with which move the winner won the game can all be done using neural networks. These networks only require Dense layers. However, each case has an inherent complexity, so a “minimal” number …

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Tic-Tac-Toe and AI: And what about the Winning Move? (Part 4)

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After having implemented neural networks for determining whether a Tic-Tac-Toe board has a winner or not, and which player the winner is, it is now time to have a look at which is the winning move. Looking at this case, you will notice that there are only three possible cases: Additionally, there is the special …

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Tic-Tac-Toe and AI: Who is the Winner? (Part 3)

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After having determined if a board has a winner using TensorFlow in the previous blog post, let us tackle a very similar question: Who is the winner? Again this is a binary decision: Either X (“0”) or O (“1”) may win a board. It is also possible that we run into a tie, and therefore …

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Tic-Tac-Toe and AI: A Winning Board (Part 2)

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As a first learning task for using AI with Tic-Tac-Toe, let us take the task of determining whether a board is a winning one or not (i.e. either X or O has won the game). We cannot directly tell the neural network what the rules are for an assignment to be winning. Instead, we need …

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Preparations: Tic-Tac-Toe and AI (Part 1)

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You might still remember the times when you played Tic-Tac-Toe (a.k.a. noughts and crosses) in your childhood: In a series of blog posts I want to apply neural networks on this well-known game. But before we may do that, we need to do some preparations. Eventually, we want to teach a neural network to determine: …

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