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神经机器翻译与代码(下)

tar_vocab, activation='softmax'))) return model # load datasets dataset = load_clean_sentences('english-german-both.pkl ') train = load_clean_sentences('english-german-train.pkl') test = load_clean_sentences('english-german-test.pkl English Vocabulary Size: %d' % eng_vocab_size) print('English Max Length: %d' % (eng_length)) # prepare german ]) ger_vocab_size = len(ger_tokenizer.word_index) + 1 ger_length = max_length(dataset[:, 1]) print('German Vocabulary Size: %d' % ger_vocab_size) print('German Max Length: %d' % (ger_length)) # prepare training

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6.Redis常用命令:Set

Singapore Vietnam (integer) 6 127.0.0.1:6379> sadd DevelopedCty America Japan Korea Singapore France German Vietnam" 3) "Thailand" 127.0.0.1:6379> sdiff DevelopedCty AsiaCountry //找到发达国家中国的非亚洲国家 1) "America" 2) "German Japan" 3) "China" 4) "Korea" 5) "Thailand" 6) "Singapore" 127.0.0.1:6379> smembers DevelopedCty 1) "German AsiaCountry 1) "Japan" 2) "China" 3) "Korea" 4) "Singapore" 127.0.0.1:6379> smembers DevelopedCty 1) "German 6379> sunionstore totalCty AsiaCountry DevelopedCty (integer) 7 127.0.0.1:6379> smembers totalCty 1) "German

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    在PyTorch中使用Seq2Seq构建的神经机器翻译模型

    Length - 15 German - ein mann lächelt einen ausgestopften löwen an . Length - 12 German - jungen tanzen mitten in der nacht auf pfosten . Length of English Sentence 4 and German Sentence 1 in the dataset 我刚刚试验了一批大小为32和样本批如下所示。 <eos>" German : "Kinder spielen im Park." <eos>" German : "Diese Stadt verdient eine bessere Klasse von Verbrechern.

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    Facebook开源的数据Mock:Memisis详解

    git@github.com:lk-geimfari/mimesis.git 支持多语言 Code Name Native Name cs Czech Česky da Danish Dansk de German Deutsch de-at Austrian german Deutsch de-ch Swiss german Deutsch el Greek Ελληνικά en English English

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    TensorFlow2.0 代码实战专栏(四):Word2Vec (Word Embedding)

    , from, in, film, see, "britain" nearest neighbors: several, first, modern, part, government, german, include, may, or, which, other, there, "american" nearest neighbors: born, french, british, english, german computer, control, systems, either, these, large, small, other, "american" nearest neighbors: born, german large, control, research, using, information, either, "american" nearest neighbors: english, french, german , research, some, information, large, "american" nearest neighbors: born, english, french, british, german

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    TA2101黑客组织攻击分析

    German Cobalt Strike/German Tax Office spoof (10.23) email address: antwortensienicht@bzst-informieren.icu spoof (10.29) email address: info@agenziaentrate.icu SOA: gladkoff1991@yandex.ru IP: 91.218.114[.]37 German Maze Campaign/German Tax Office spoof (11.6) 此攻击活动使用与10月23日相同的诱饵,包括相同的“ RSA Key”恶意Microsoft Word附件。 German Maze Campaign/German ISP spoof (11.7) email address: antwortensienicht@bzstinform.icu SOA: gladkoff1991

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    MultiMWE:构建多语言多词表达(MWE)并行语料库(CS CL)

    This is a small collection of only 871 pairs of English-German MWEs. Our collections are 3,159,226 and 143,042 bilingual MWE pairs for German-English and Chinese-English terms in qualitative analysis and better general evaluation scores in quantitative analysis, on both German-English

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    python语言转换库snowballstemmer

    'danish': 丹麦语, 'dutch': 荷兰语, 'english': 英语, 'finnish': 芬兰语, 'french': 法语, 'german snowballstemmer >>> snowballstemmer.algorithms() ['danish', 'dutch', 'english', 'finnish', 'french', 'german

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    国家语言,语言代码,locale id对应表

    Ireland gd gd-ie 2108 Gaelic - Scotland gd gd 1084 Galician gl 1110 456 1252 Georgian ka 1079 437 German - Austria de de-at 3079 1252 German - Germany de de-de 1031 407 1252 German - Liechtenstein de de-li 5127 1407 1252 German - Luxembourg de de-lu 4103 1007 1252 German - Switzerland de de-ch 2055 807 1252

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    这些优化技巧可以避免我们在 JS 中过多的使用 IF 语句

    '; break; case 'german': return 'German Shepherds are good boys and girls. ", "german": "German Shepherds are good boys and girls.

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    避免在 JS 中过多使用 IF 语句优化技巧

    '; break; case 'german': return 'German Shepherds are good boys and girls. ", "german": "German Shepherds are good boys and girls.

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    精读《class static block》

    ; } function initializeTranslator(translations, englishWords, germanWords) { for (const [english, german ] of Object.entries(translations)) { englishWords.push(english); germanWords.push(german); ; static englishWords = []; static germanWords = []; static { // (A) for (const [english, german Object.entries(this.translations)) { this.englishWords.push(english); this.germanWords.push(german

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    7.Redis常用命令:ZSet

    127.0.0.1:6379> zrange CountryPower 0 -1 withscores 1) "France" 2) "85" 3) "German" 4) "88" 5) " WITHSCORES]  截取范围内的成员(自选带分数) 127.0.0.1:6379> zrange CountryPower 0 -1 withscores 1) "France" 2) "85" 3) "German withscores 1) "America" 2) "99" 3) "Russia" 4) "97" 5) "China" 6) "95" 7) "Japan" 8) "89" 9) "German withscores 1) "America" 2) "99" 3) "Russia" 4) "97" 5) "China" 6) "95" 7) "Japan" 8) "89" 9) "German 127.0.0.1:6379> zrange CountryPower 0 -1 withscores 1) "France" 2) "85" 3) "German" 4) "88" 5) "

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    Pytorch-Transformers 1.0发布,支持六个预训练框架,含27个预训练模型

    hidden, 12-heads, 110M parameters Trained on cased Chinese Simplified and Traditional textbert-base-german-cased12 -layer, 768-hidden, 12-heads, 110M parameters Trained on cased German text by Deepset.ai (see details , 1024-hidden, 8-heads XLM English modelxlm-mlm-ende-102412-layer, 1024-hidden, 8-heads XLM English-German trained with CLM (Causal Language Modeling)xlm-clm-ende-102412-layer, 1024-hidden, 8-heads XLM English-German

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    使用 JavaScript 工具在网站上实施搜索

    author":"Paul Celan","country":"Romania, France","imageLink":"images/poems-paul-celan.jpg","language":"German Franz Kafka","country":"Czechoslovakia","imageLink":"images/stories-of-franz-kafka.jpg","language":"German },{"author":"Franz Kafka","country":"Czechoslovakia","imageLink":"images/the-trial.jpg","language":"German ,{"author":"Franz Kafka","country":"Czechoslovakia","imageLink":"images/the-castle.jpg","language":"German 1959},{"author":"Thomas Mann","country":"Germany","imageLink":"images/buddenbrooks.jpg","language":"German

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    Viusal 各个版本离线镜像

    7977E242C7F951A6D1BE842369550BD1E16A8BB5 Chinese-Traditional 8B22A5EDFBC10E57AD4A99CF3CA3D36CFDFA540C German 5E56E9F562C8D2D837475FB922C2AD0BD7B9297B Chinese-Traditional E76929F22D04C6EB0864C9CDCEF22D7C6A4F2BF0 German 303131E18675A80BB6E3D48A3AD182C81F2E6AC0 Chinese-Traditional 76D65F22433F7F7379E90A23537FF806D8C57D70 German 27 文件名: mu_visual_studio_2015_update_3_x86_x64_dvd_8923065.iso 语言: English, Japanese, Korean, Czech, German 6/27 文件名: mu_microsoft_build_tools_2015_update_3_x86_x64_8923170.exe 语言: English, Japanese, Korean, German

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    C语言定义数组时使用枚举作为数组的下标

    如下“` static char* language_type_data[] = { "Chinese", "German", "American" }; 这里定义了一个字符指针型数组,用来保存语言类型 language_type_data[] = { [OS_APP_LANGUAGE_TYPE_EN] = "Chinese", [OS_APP_LANGUAGE_TYPE_DE] = "German

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    WOE与IV值

    WOE(Weight of Evidence) 我们使用german credit数据来解释WOE及后面的IV值。 german credit数据集包括了用户状态,信用历史,是否有工作,财产状况等属性,和是否发生违约标签。 german credit中一共有1000条数据,其中700条为未违约用户,300条为违约样本。我们选取savings这个分类字段进行相应解释,以此省去之前的离散化操作。

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    黑客入侵俄罗斯能源巨头位于德国的子公司,窃取了20TB数据

    参考来源 https://securityaffairs.co/wordpress/129052/hacktivism/anonymous-hacked-german-subsidiary-rosneft.html https://siliconangle.com/2022/03/14/german-subsidiary-russian-oil-company-rosneft-targeted-anonymous

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