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  • 1
    Orig.schr. Ausgabe: 初版.
    Titel: Rustの練習帳 : : コマンドラインツールの作成を通してRustを学ぶ = Command-line Rust : a project-based primer for writing Rust CLIs /
    Verlag: 東京都新宿区 : オライリー・ジャパン
    ISBN: 9784814400584 , 4814400586
    Sprache: Japanisch
    Seiten: 1 online resource (472 pages)
    Ausgabe: Shohan.
    Originaltitel: Command-line Rust
    DDC: 005.133
    Schlagwort(e): Rust (Computer program language) ; User interfaces (Computer systems) ; Rust (Langage de programmation) ; Interfaces utilisateurs (Informatique) ; Puroguramingu(Konpyūta)
    Kurzfassung: For several consecutive years, Rust has been voted "most loved programming language" in Stack Overflow's annual developer survey. This open source systems programming language is now used for everything from game engines and operating systems to browser components and virtual reality simulation engines. But Rust is also an incredibly complex language with a notoriously difficult learning curve. Rather than focusing on the language as a whole, this guide teaches Rust using a single small, complete, focused program in each chapter. Author Ken Youens-Clark shows you how to start, write, and test each of these programs to create a finished product. You'll learn how to handle errors in Rust, read and write files, and use regular expressions, Rust types, structs, and more. Discover how to: Use Rust's standard libraries and data types such as numbers, strings, vectors, structs, Options, and Results to create command-line programs ; Write and test Rust programs and functions ; Read and write files, including stdin, stdout, and stderr ; Document and validate command-line arguments ; Write programs that fail gracefully ; Parse raw and delimited text manually, using regular expressions and Rust crates ; Use and control randomness.
    Anmerkung: In Japanese.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    Online-Ressource
    Online-Ressource
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Orig.schr. Ausgabe: 第 2版.
    Titel: ハイパフォーマンスPython /
    Verlag: オライリー・ジャパン,
    ISBN: 9784873119908 , 4873119901
    Sprache: Japanisch
    Seiten: 1 online resource (452 pages)
    Ausgabe: Dai 2-han.
    Originaltitel: High performance Python
    DDC: 005.133
    Schlagwort(e): Python (Computer program language)
    Kurzfassung: "A guide to programming with Python, updated for Python 3, explores the fundamental theory behind design choices and offers a better understanding of Python implementation, covering such topics as locating performance bottlenecks, how Python abstracts the underlying computer architecture, and tools to compile Python down to machine code." --
    Anmerkung: In Japanese.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 3
    Orig.schr. Ausgabe: 初版.
    Titel: 機械学習エンジニアのためのTransformers : : 最先端の自然言語処理ライブラリによるモデル開発 /
    Verlag: オライリー・ジャパン,
    ISBN: 9784873119953 , 4873119952
    Sprache: Japanisch
    Seiten: 1 online resource (424 pages) , color illustrations..
    Ausgabe: Shohan.
    Originaltitel: Natural language processing with transformers
    DDC: 006.3/5
    Schlagwort(e): Natural language processing (Computer science) ; Python (Computer program language) ; Deep learning (Machine learning)
    Kurzfassung: "Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering Learn how transformers can be used for cross-lingual transfer learning Apply transformers in real-world scenarios where labeled data is scarce Make transformer models efficient for deployment using techniques such as distillation, pruning, and quantization Train transformers from scratch and learn how to scale to multiple GPUs and distributed environments." --
    Anmerkung: Includes bibiographical references , In Japanese.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 4
    Orig.schr. Ausgabe: 初版.
    Titel: 実践自然言語処理 : : 実世界NLPアプリケーション開発のベストプラクティス /
    Verlag: オライリー・ジャパン,
    ISBN: 9784873119724 , 4873119723
    Sprache: Japanisch
    Seiten: 1 online resource (512 pages)
    Ausgabe: Shohan.
    Originaltitel: Practical natural language processing
    DDC: 006.3/5
    Schlagwort(e): Natural language processing (Computer science) ; Application software Development ; Text data mining ; Machine learning ; Application software ; Development ; Machine learning ; Natural language processing (Computer science) ; Text data mining
    Anmerkung: Includes bibiographical references , In Japanese.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 5
    Orig.schr. Ausgabe: 初版.
    Titel: 入門機械学習パイプライン : : TensorFlowで学ぶワークフローの自動化 /
    Verlag: オライリー・ジャパン,
    ISBN: 9784873119519 , 4873119510
    Sprache: Japanisch
    Seiten: 1 online resource (392 pages)
    Ausgabe: Shohan.
    Originaltitel: Building machine learning pipelines
    DDC: 006.3/1
    Schlagwort(e): TensorFlow ; Machine learning ; Cloud computing ; Business enterprises Data processing
    Anmerkung: In Japanese.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 6
    Orig.schr. Ausgabe: 初版.
    Titel: 直感 Deep learning : : Python×Kerasでアイデアを形にするレシピ /
    Verlag: オライリー・ジャパン,
    ISBN: 9784873118260 , 4873118263
    Sprache: Japanisch
    Seiten: 1 online resource (336 pages)
    Ausgabe: Shohan.
    Originaltitel: Deep learning with Keras
    DDC: 005.133
    Schlagwort(e): Python (Computer program language) ; Neural networks (Computer science) ; Deep learning (Machine learning) ; Deep learning (Machine learning) ; Neural networks (Computer science) ; Python (Computer program language)
    Anmerkung: In Japanese.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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