{"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\/fr\/2018\/12\/09\/textgenrnn\/","title":{"rendered":"Tesla parle"},"content":{"rendered":"

Dans cet article, je d\u00e9crirai le processus de cr\u00e9ation d’un g\u00e9n\u00e9rateur de devis<\/a>.
\n

TL;DR<\/h4>\n

Pour la formation et la g\u00e9n\u00e9ration de texte\u00a0&#8211\u00a0; utilisez la biblioth\u00e8que textgenrnn<\/a>, pour filtrer les phrases, vous devez utiliser la v\u00e9rification orthographique \u00e0 l’aide du hunspell<\/a> et ses biblioth\u00e8ques pour C\/python. Apr\u00e8s une formation \u00e0 Colaboratory<\/a>, vous pouvez commencer \u00e0 g\u00e9n\u00e9rer du texte. Environ 90\u00a0% du texte sera compl\u00e8tement illisible, cependant, les 10\u00a0% restants contiendront un peu de sens, et avec une modification manuelle, les phrases auront l’air plut\u00f4t bien.
Le moyen le plus simple est de lancer un r\u00e9seau neuronal pr\u00eat \u00e0 l’emploi dans Colaboratory\u00a0:
https:\/\/colab.research.google.com\/drive\/1-wbZMmxvsm3SoclJv11villo9VbUesbc<\/a>(s’ouvre dans un nouvel onglet)”>https:\/\/colab.research.google.com\/drive\/1-wbZMmxvsm3SoclJv11villo9VbUesbc<\/a><\/p>\n

Code source
<\/h4>\n

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

Sources
<\/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":"

Dans cet article, je d\u00e9crirai le processus de cr\u00e9ation d’un g\u00e9n\u00e9rateur de devis.https:\/\/colab.research.google.com\/drive\/1-wbZMmxvsm3SoclJv11villo9VbUesbc Code source https:\/\/gitlab.com\/demensdeum\/MachineLearning\/tree\/master\/3quotesGenerator Sources 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":"fr","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\/fr\/wp-json\/wp\/v2\/posts\/1571","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/demensdeum.com\/blog\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/demensdeum.com\/blog\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/fr\/wp-json\/wp\/v2\/comments?post=1571"}],"version-history":[{"count":15,"href":"https:\/\/demensdeum.com\/blog\/fr\/wp-json\/wp\/v2\/posts\/1571\/revisions"}],"predecessor-version":[{"id":3968,"href":"https:\/\/demensdeum.com\/blog\/fr\/wp-json\/wp\/v2\/posts\/1571\/revisions\/3968"}],"wp:attachment":[{"href":"https:\/\/demensdeum.com\/blog\/fr\/wp-json\/wp\/v2\/media?parent=1571"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/fr\/wp-json\/wp\/v2\/categories?post=1571"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/fr\/wp-json\/wp\/v2\/tags?post=1571"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}