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  1. Japanese language. Japanese (日本語, Nihongo, [ɲihoŋɡo] ⓘ) is the principal language of the Japonic language family spoken by the Japanese people. It has around 120 million speakers, primarily in Japan, the only country where it is the national language, and within the Japanese diaspora worldwide.

  2. en.wikipedia.org › wiki › KatakanaKatakana - Wikipedia

    Katakana ( 片仮名 、 カタカナ, IPA: [katakaꜜna, kataꜜkana]) is a Japanese syllabary, one component of the Japanese writing system along with hiragana, [2] kanji and in some cases the Latin script (known as rōmaji ). The word katakana means "fragmentary kana", as the katakana characters are derived from components or fragments of more complex kanji.

  3. Transfer learning ( TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related task. [1] . For example, for image classification, knowledge gained while learning to recognize cars could be applied when trying to recognize trucks.

  4. The Boundary Fire was a 2017 wildfire in Arizona that burned 17,788 acres (7,199 ha) of the Coconino and Kaibab National Forests. The fire was ignited on June 1 when lightning struck a spot on the northeast side of Kendrick Peak within the Coconino National Forest. The fire spread rapidly because of high temperatures, steep terrain, leftovers ...

  5. Curriculum guidelines (学習指導要領, Gakushū shidō yōryō) is a standard issued by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) that specifies materials taught at all of elementary, junior and senior high schools in Japan, either public or private.

  6. Hakata dialect. Hakata dialect (博多弁, Hakata-ben) is a Japanese dialect spoken in Fukuoka city. [1] Hakata dialect originated in Hakata commercial district, while a related Fukuoka dialect (福岡弁, Fukuoka-ben) was spoken in the central district. [2] Hakata dialect has spread throughout the city and its suburbs.

  7. Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. Recently, artificial neural networks have been able to surpass many previous approaches in performance.

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