Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4
genuine image
Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4
Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4
منتج #: 49261621

Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and

87% من المشترين سيوصون بهذا المنتج لصديق

منتج #: 49261621

SAR 349

تفاصيل السعر

باستثناء رسوم الشحن والجمارك ( سيتم احتساب رسوم الشحن والجمارك عند إتمام الشراء )

*سيتم استيراد جميع العناصر من أمريكا

    • متوفر فى المخزون
    أمريكا مستورد من متجر USA

    كمية:

    اطلب الآن واحصل عليه حول Sunday, سبتمبر 13
    معاملة آمنةمعاملة آمنة

    تعمل يوباي جاهدة لحماية أمنك وخصوصيتك. يضمن نظام أمان الدفع المتقدم لدينا السرية من خلال تشفير معلوماتك أثناء النقل باستخدام بروتوكولات AES (معايير التشفير المتقدمة) وSSL (طبقة المنافذ الآمنة). تفاصيل الدفع الخاصة بك آمنة بنسبة %100 لأننا لا نشارك تفاصيل الدفع الخاصة بك مع بائعين تابعين لجهات خارجية

    أفضل شركائنا اللوجستيين
    • fedex
    • dhl
    • aramex
    كفالة يو كير:
    لا شيء
    اختر الباقة
    buy now pay later

    اشتر الآن وادفع لاحقاً

    fast shipping

    شحن
    سريع

    free return

    استرجاع
    مجاني*

    تغليف آمن

    تغليف آمن

    منتجات أصلية %100

    منتجات أصلية %100

    pci-dss

    الامتثال لمعيار PCI DSS

    iso certified

    حاصل على شهادة ISO 27001

    paypal payment
    visa payment
    mastercard payment
    tamara payment
    Note: Step Down Voltage Transformer required for using electronics products of أمريكا store (110-120). Recommended power converters اشتري الآن.

    مايفيد

    Comprehensive Coverage
    This edition thoroughly covers deep learning architectures for NLP, offering detailed insights on architectures like GPT-3, ChatGPT, and GPT-4, making it ideal for both beginners and experienced practitioners.
    Hands-On Approach
    Offers practical exercises and real-world examples using Python and Hugging Face, empowering readers to build, train, and fine-tune models effectively, enhancing their practical understanding of NLP applications.
    Updated Technologies
    Incorporates the latest advancements in NLP technology, ensuring readers gain current knowledge on state-of-the-art models, preparing them for modern industry challenges and advanced computational techniques.

    تفاصيل المنتج

    Shop Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4 online at a best price in السعودية. 1803247339
    • Consolidates OpenAI’s GPT-3, ChatGPT, GPT-4, and Hugging Face transformers for language tasks
    • Includes a free eBook in PDF format with print or Kindle book purchase
    • Improves productivity with OpenAI’s ChatGPT and GPT-4 for prompt engineering and machine learning models
    • Guides pretraining a BERT-based model from scratch using Hugging Face
    • Provides step-by-step guidance on fine-tuning powerful transformer models, including OpenAI's GPT-3
    • Covers various NLP tasks, machine translations, speech-to-text, text-to-speech, and more
    Publisher Packt Publishing
    Publication date March 25, 2022
    Edition 2nd ed.
    Language English
    Print length 602 pages
    ISBN-10 1803247339
    ISBN-13 978-1803247335
    Item Weight 2.25 pounds (1.02 kg)
    Dimensions 7.5 x 1.36 x 9.25 inches (19.1 x 3.5 x 23.5 cm)

    من يجب أن يشتري؟

    Suitable For
    • AI Enthusiasts

      Individuals keen on understanding deep learning and NLP will find this resource invaluable for hands-on learning.

    • Data Scientists

      Professionals who work with text data can benefit from practical knowledge of transformers in real-world applications.

    • Machine Learning Students

      Students pursuing machine learning courses can effectively apply theories through coding examples and projects presented in the book.

    Not Suitable For
    • Beginner Programmers

      Individuals with no programming experience may struggle with the advanced concepts and coding implementations presented.

    وصف المنتج

    Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4

    هل لديك أي استفسار؟ تحدث معنا

    أسئلة العملاء & الإجابات

    • سؤال: What are transformers in Natural Language Processing?

      إجابه: Transformers are a type of neural network architecture that utilize self-attention mechanisms to process and generate text. They excel at understanding context and relationships within text data, making them ideal for various NLP tasks like translation, sentiment analysis, and text summarization. Unlike traditional models, transformers can handle long-range dependencies within text, allowing for more coherent and contextually appropriate outputs in tasks such as chatbots or automated content generation.
    • سؤال: How can I build a transformer model for NLP?

      إجابه: Building a transformer model for NLP involves utilizing libraries like Hugging Face’s Transformers along with Python. You start by selecting a pre-trained model as a base, then adapt it for your specific task by fine-tuning on your dataset. This process involves configuring the model architecture, defining training parameters, and using optimizers effectively. By customizing aspects like architecture size or learning rates, you can optimize performance for applications such as text classification or named entity recognition.
    • سؤال: What does fine-tuning a transformer model involve?

      إجابه: Fine-tuning a transformer model entails adjusting the pre-trained model on a specific dataset relevant to your NLP task. This process includes modifying hyperparameters, such as learning rates and batch sizes, ensuring the model focuses on your specific text data characteristics. Fine-tuning improves the model's accuracy and relevance, making it particularly useful in tasks like sentiment analysis or domain-specific conversational AI, where standard models may not capture the nuances of specialized vocabulary.
    • سؤال: Which programming language is commonly used for working with transformers?

      إجابه: Python is the most commonly used programming language for working with transformers, especially in the field of Natural Language Processing. The popularity of libraries like Hugging Face’s Transformers simplifies integration and use of transformer models. This allows developers to leverage Python’s extensive ecosystem of data science libraries, making it easier to preprocess data, implement models, and conduct evaluations, ideal for projects involving text generation or chatbots.
    • سؤال: Can transformers be used for tasks beyond text?

      إجابه: Yes, transformers are versatile and can be adapted for tasks beyond text processing. They have been successfully applied in fields such as image processing and audio analysis, thanks to their ability to learn complex relationships in data. For example, models like Vision Transformers (ViTs) are innovating by applying transformer principles to image classification tasks, showcasing their adaptability and potential in different domains like healthcare imaging or speech recognition.
    • سؤال: What role does Hugging Face play in using transformers?

      إجابه: Hugging Face serves as a leading platform for developers and researchers working with transformer models. It offers a rich library of pre-trained models that can be easily integrated into various applications. The extensive documentation and active community make it accessible for both beginners and experts. Whether you’re building a chatbot or conducting research in NLP, Hugging Face provides the tools and resources to enhance your project’s effectiveness and speed of development.
    • سؤال: What are some practical applications of transformers in NLP?

      إجابه: Transformers are employed in a variety of practical applications within NLP. Common use cases include machine translation, where they enable seamless and accurate language translations, and chatbots, which can generate contextually relevant responses in conversations. Additionally, transformers improve text summarization tools and sentiment analysis systems, allowing businesses to glean insights from customer feedback effectively. Their versatility makes them crucial in creating engaging user experiences across different platforms.
    • سؤال: Is it necessary to have a strong background in ML to work with transformers?

      إجابه: While a solid understanding of machine learning concepts can be beneficial, it is not strictly necessary to work with transformers. Tools such as Hugging Face provide accessible interfaces and extensive tutorials that simplify the process. Users can get started with basic programming knowledge and gradually build their skills through hands-on experience. This opens the door for enthusiasts and professionals from various backgrounds to engage with powerful NLP tools for diverse applications.
    • سؤال: What are the hardware requirements for training transformer models?

      إجابه: Training transformer models typically requires powerful hardware due to their high computational demands. A compatible GPU is ideal for efficient training, as it significantly speeds up the process compared to CPU-only setups. Depending on your dataset size and model complexity, a machine with 16GB or more of VRAM is recommended. This setup facilitates quicker experimentation and better performance when implementing large-scale NLP applications like language generation or text analytics.
    • سؤال: Where can I buy Transformers for Natural Language Processing?

      إجابه: You can purchase 'Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face' on Ubuy, which offers a wide range of books in various categories. Ubuy ensures you have access to essential materials that aid in the development of your understanding and application of transformers in NLP, making it a go-to resource for learners and professionals alike.

    Neural Networks Editorial Review

    Transformers for Natural Language Processing, 2nd Edition by Denis Rothman is a comprehensive and well-written book that explains AI, NLP, and transformers. The author is an authority in the domain and gives a good superficial tutorial for beginners who want to enter the field and sound like an expert. The book offers detailed code examples that allow readers to get hands-on experience. As per the reviews, this book is highly recommended for breaking into NLP. There is praise for the author's simplicity combined with technical rigor. While most reviews are all praises, there is one critical review that suggests the book does not have actual content but is all hype. The reviewer suggests that the author might not understand transformers well, and the content on the book might be made up. Many reviews recommend publishers to offer more prominent fonts. This book is an essential read for beginners who want to enter the NLP field, and the code examples offer enough hands-on experience to get started.

    مراجعات العملاء وتقييماتهم

    1 تقييمات العملاء
    • 5 نجمة
      100%
    • 4 نجمة
      0%
    • 3 نجمة
      0%
    • 2 نجمة
      0%
    • 1 نجمة
      0%

    أضف تقييم لهذا المنتج

    شارك أفكارك مع عملاء آخرين

    إيجابيات

    • Comprehensive and well-written book on AI, NLP, and transformers.
    • The book offers detailed code examples that allow readers to get hands-on experience.
    • Simple and easy to understand language.
    • Recommended for beginners who want to enter the NLP field.

    سلبيات

    • One critical review suggests that the book might not have actual content but is all hype.

    منصة موثوقة وثقة كاملة للمشتري

    trustpilot logo
    4.1/5 340 التقييمات
    اطّلع على التقييمات
    E
    Essam
    مشتري موثّق

    “Perfect service and fast delivery.”

    16-Jul-26 · عبر Trustpilot
    MG
    Mohamed
    مشتري موثّق

    “We feel very good about the delivery time, and the materials we received matched our order.”

    14-Jul-26 · عبر Trustpilot
    AF
    Anila
    مشتري موثّق

    “Good experience of shopping through Ubuy.”

    16 June 2026 · عبر Trustpilot
    FS
    Farrah
    مشتري موثّق

    “A very big Thank you to HUDA and the Ubuy Team in helping to send my order to me yesterday!! Order # 62606425316 Customer service and operations is top for this online shopping company and I am very satisfied with the way they handle issues. THANK YOU once again!!”

    25 June 2026 · عبر Trustpilot
    MA
    Mekki
    مشتري موثّق

    “Arrive before time, excellent products”

    9 July 2026 · عبر Trustpilot
    الخروج الآمن شحن عالمي إسترجاع سهل منتجات أصلية

    تاريخ سعر المنتج

    معلومات مهمة

    • القيود: بالنسبة للمنتجات التي يتم شحنها دولياً، يُرجى ملاحظة أن أي ضمان من الشركة المصنعة قد لا يكون صالحاً؛ قد لا تتوفر خيارات خدمة الشركة المصنعة؛ قد لا تكون أدلة المنتج والتعليمات وتحذيرات السلامة مكتوبة بلغة بلد المقصد؛ قد لا يتم تصميم المنتجات (والمواد المصاحبة لها) وفقاً لمعايير بلد الوجهة والمواصفات ومتطلبات الملصقات؛ وقد لا تتوافق المنتجات مع الجهد الكهربي المستخدم في بلد الوجهة والمعايير الكهربائية الأخرى (تتطلب استخدام محوّل كهربي أو جهاز تحويل إذا كان ذلك مناسباً). المستلم مسؤول عن ضمان إمكانية استيراد المنتج بشكل قانوني إلى بلد الوجهة. عند الطلب من يوباي أو الشركات التابعة لها، يكون المستلم هو المستورد المسجل ويجب أن يلتزم بجميع القوانين واللوائح الخاصة ببلد الوجهة.
    • ليست كل المنتجات المدرجة على يوباي معروضة للبيع، لأن يوباي هو محرك بحث عالمي. المنتجات تخضع للوائح التصدير / التجارة.

    SAR 349

    اطلب الآن واحصل عليه حول Sunday, سبتمبر 13

    كمية:

    معاملة آمنةمعاملة آمنة

    نوفر لك مدفوعات مشفّرة، وحماية متكاملة للمشتري، مع الالتزام بمعايير PCI DSS وشهادة ISO 27001:2022 لضمان أعلى مستويات الأمان في كل عملية شراء.

    أفضل شركائنا اللوجستيين
    • fedex
    • dhl
    • aramex
    أسرع توصيل عبر الحدود

    ضمان Ubuy

    تسوّق بثقة مع منتجات أصلية %100، ومدفوعات آمنة متوافقة مع معيار PCI DSS، وحماية بيانات معتمدة وفق ISO 27001، وشحن دولي سريع، وإرجاع مجاني*، وتغليف آمن لكل طلب.