{"id":1571,"date":"2018-12-09T16:37:47","date_gmt":"2018-12-09T16:37:47","guid":{"rendered":"http:\/\/demensdeum.com\/blog\/?p=1571"},"modified":"2024-12-16T22:32:41","modified_gmt":"2024-12-16T19:32:41","slug":"textgenrnn","status":"publish","type":"post","link":"https:\/\/demensdeum.com\/blog\/de\/2018\/12\/09\/textgenrnn\/","title":{"rendered":"Tesla spricht"},"content":{"rendered":"

In diesem Beitrag beschreibe ich den Prozess der Erstellung eines Zitatgenerators<\/a>.
<\/p >\n

TL;DR<\/h4>\n

F\u00fcr Schulung und Textgenerierung – Verwenden Sie die Bibliothek textgenrnn<\/a>, um Phrasen zu filtern, m\u00fcssen Sie die Rechtschreibpr\u00fcfung mit hunspell<\/a> und seine Bibliotheken f\u00fcr C\/Python. Nach dem Training in Colaboratory<\/a>, Sie k\u00f6nnen mit der Textgenerierung beginnen. Etwa 90 % des Textes werden erstellt v\u00f6llig unlesbar, die restlichen 10 % enthalten jedoch ein wenig Bedeutung, und mit manueller \u00c4nderung sehen die Phrasen recht gut aus.
Am einfachsten ist es, ein vorgefertigtes neuronales Netzwerk in Colaboratory zu starten:
https:\/\/colab.research.google.com\/drive\/1-wbZMmxvsm3SoclJv11villo9VbUesbc<\/a>(\u00f6ffnet sich in einem neuen Tab)”>https:\/\/colab.research.google.com\/drive\/1-wbZMmxvsm3SoclJv11villo9VbUesbc<\/a><\/p>\n

Quellcode
<\/h4>\n

https:\/\/gitlab.com\/demensdeum\/MachineLearning\/tree\/master\/3quotesGenerator<\/a><\/p>\n

Quellen
<\/h4>\n

https:\/\/karpathy.github.io\/2015\/05\/21\/rnn-effectiveness\/<\/a>https:\/\/medium.com\/deep-learning-turkey\/google-colab-free-gpu-tutorial-e113627b9f5d<\/a>https:\/\/minimaxir.com\/2018\/05\/text-neural-networks\/<\/a>
https:\/\/github.com\/wooorm\/dictionaries (opens in a new tab)” href=”https:\/\/minimaxir.com\/2018\/05\/text-neural-networks\/” target=”_blank”>https:\/\/minimaxir.com\/2018\/05\/text-neural-networks\/<\/a>
https:\/\/karpathy.github.io\/2015\/05\/21\/rnn-effectiveness\/<\/a>
https:\/\/medium.com\/deep-learning-turkey\/google-colab-free-gpu-tutorial-e113627b9f5d<\/a>
https:\/\/karpathy.github.io\/2015\/05\/21\/rnn-effectiveness\/ (opens in a new tab)” href=”https:\/\/karpathy.github.io\/2015\/05\/21\/rnn-effectiveness\/” target=”_blank”>https:\/\/karpathy.github.io\/2015\/05\/21\/rnn-effectiveness\/<\/a>
https:\/\/medium.com\/deep-learning-turkey\/google-colab-free-gpu-tutorial-e113627b9f5d<\/a>
https:\/\/karpathy.github.io\/2015\/05\/21\/rnn-effectiveness\/<\/a>https:\/\/medium.com\/deep-learning-turkey\/google-colab-free-gpu-tutorial-e113627b9f5d<\/a>https:\/\/github.com\/wooorm\/dictionaries<\/a><\/p>\n

” rel=”noopener” target=”_blank”>https:\/\/github.com\/wooorm\/dictionaries (opens in a new tab)”>https:\/\/github.com\/wooorm\/dictionaries<\/a><\/p>\n

<\/a><\/p>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

In diesem Beitrag beschreibe ich den Prozess der Erstellung eines Zitatgenerators. TL;DR F\u00fcr Schulung und Textgenerierung – Verwenden Sie die Bibliothek textgenrnn, um Phrasen zu filtern, m\u00fcssen Sie die Rechtschreibpr\u00fcfung mit hunspell und seine Bibliotheken f\u00fcr C\/Python. Nach dem Training in https:\/\/colab.research.google.com\/drive\/1-wbZMmxvsm3SoclJv11villo9VbUesbc Quellcode https:\/\/gitlab.com\/demensdeum\/MachineLearning\/tree\/master\/3quotesGenerator Quellen https:\/\/karpathy.github.io\/2015\/05\/21\/rnn-effectiveness\/https:\/\/medium.com\/deep-learning-turkey\/google-colab-free-gpu-tutorial-e113627b9f5d<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[61],"tags":[93],"class_list":["post-1571","post","type-post","status-publish","format-standard","hentry","category-techie","tag-deep-learning","entry"],"translation":{"provider":"WPGlobus","version":"3.0.2","language":"de","enabled_languages":["en","ru","zh","de","fr","ja","pt","hi"],"languages":{"en":{"title":true,"content":true,"excerpt":false},"ru":{"title":true,"content":true,"excerpt":false},"zh":{"title":true,"content":true,"excerpt":false},"de":{"title":true,"content":true,"excerpt":false},"fr":{"title":true,"content":true,"excerpt":false},"ja":{"title":true,"content":true,"excerpt":false},"pt":{"title":true,"content":true,"excerpt":false},"hi":{"title":false,"content":false,"excerpt":false}}},"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/demensdeum.com\/blog\/de\/wp-json\/wp\/v2\/posts\/1571","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/demensdeum.com\/blog\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/demensdeum.com\/blog\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/de\/wp-json\/wp\/v2\/comments?post=1571"}],"version-history":[{"count":15,"href":"https:\/\/demensdeum.com\/blog\/de\/wp-json\/wp\/v2\/posts\/1571\/revisions"}],"predecessor-version":[{"id":3968,"href":"https:\/\/demensdeum.com\/blog\/de\/wp-json\/wp\/v2\/posts\/1571\/revisions\/3968"}],"wp:attachment":[{"href":"https:\/\/demensdeum.com\/blog\/de\/wp-json\/wp\/v2\/media?parent=1571"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/de\/wp-json\/wp\/v2\/categories?post=1571"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/de\/wp-json\/wp\/v2\/tags?post=1571"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}