Isbn: 9798291968574 - deep learning with transformers: build gpt and bert applications (6 risultati)

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  • Lingua: Inglese

    Editore: Independently published, 2025

    9798291968574

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    Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices

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  • Lingua: Inglese

    Editore: Independently published, 2025

    9798291968574

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    Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices

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    Condizione: As New. Unread book in perfect condition.

  • Lingua: Inglese

    Editore: Independently published, 2025

    9798291968574

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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    Condizione: New.

  • Lingua: Inglese

    Editore: Independently published, 2025

    9798291968574

    • Brossura

    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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    Condizione: Usato - Come nuovo

    EUR 22,91

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  • Lingua: Inglese

    Editore: Independently Published, 2025

    9798291968574

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    Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

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    EUR 22,63

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    Paperback. Condizione: new. Paperback. Transformers have revolutionized the field of deep learning-and this hands-on guide puts their power directly into your hands. Whether you're an AI enthusiast, machine learning engineer, or data scientist, this book takes you deep into the architecture and application of game-changing models like BERT, GPT, T5, and Vision Transformers (ViT).Learn how to build production-ready NLP and multimodal solutions using Hugging Face Transformers and PyTorch. Understand self-attention, fine-tune pre-trained models, and deploy transformer-based systems for tasks such as text generation, sentiment analysis, translation, summarization, question answering, and even image classification.Inside you'll explore: The inner workings of Transformer architecture and attention mechanismsPractical tutorials on BERT, GPT, and encoder-decoder modelsEnd-to-end projects including chatbots, recommender systems, and code generationFine-tuning, prompt engineering, and low-resource adaptation techniquesReal-world deployment strategies using ONNX, TorchServe, and FastAPIWhether you're building your own GPT-like chatbot or optimizing BERT for enterprise-scale search, this book provides the knowledge, tools, and best practices to succeed in the next generation of AI development. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Lingua: Inglese

    Editore: Independently Published, 2025

    9798291968574

    • Brossura
    • Print on Demand

    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

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    Condizione: Nuovo

    EUR 25,55

    EUR 43,72 spedizione 
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    Quantità: 1 disponibile

    Paperback. Condizione: new. Paperback. Transformers have revolutionized the field of deep learning-and this hands-on guide puts their power directly into your hands. Whether you're an AI enthusiast, machine learning engineer, or data scientist, this book takes you deep into the architecture and application of game-changing models like BERT, GPT, T5, and Vision Transformers (ViT).Learn how to build production-ready NLP and multimodal solutions using Hugging Face Transformers and PyTorch. Understand self-attention, fine-tune pre-trained models, and deploy transformer-based systems for tasks such as text generation, sentiment analysis, translation, summarization, question answering, and even image classification.Inside you'll explore: The inner workings of Transformer architecture and attention mechanismsPractical tutorials on BERT, GPT, and encoder-decoder modelsEnd-to-end projects including chatbots, recommender systems, and code generationFine-tuning, prompt engineering, and low-resource adaptation techniquesReal-world deployment strategies using ONNX, TorchServe, and FastAPIWhether you're building your own GPT-like chatbot or optimizing BERT for enterprise-scale search, this book provides the knowledge, tools, and best practices to succeed in the next generation of AI development. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…