Menu

Zaloguj się

Twoje konto

×
Dodano do koszyka:
Pozycja znajduje się w koszyku, zwiększono ilość tej pozycji:
Zakupiłeś już tę pozycję:
Książkę możesz pobrać z biblioteki w panelu użytkownika
Pozycja znajduje się w koszyku
Przejdź do koszyka

Zawartość koszyka

ODBIERZ TWÓJ BONUS :: »

Szukaj

Zamknij

    Dostawa od 0,00zł

    TOP tytuł w super cenie » 50% taniej

    Building Transformer Models with PyTorch 2.0

    (ebook) (audiobook) (audiobook) Książka w języku angielskim
    Autor:
    Prem Timsina
    Building Transformer Models with PyTorch 2.0 Prem Timsina - okladka książki

    Building Transformer Models with PyTorch 2.0 Prem Timsina - okladka książki

    Building Transformer Models with PyTorch 2.0 Prem Timsina - audiobook MP3

    Building Transformer Models with PyTorch 2.0 Prem Timsina - audiobook CD

    Wydawnictwo:
    BPB Publications (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    310
    Dostępne formaty:
         ePub
         Mobi
    Your key to transformer based NLP, vision, speech, and multimodalities

    Key Features
    ? Transformer architecture for different modalities and multimodalities.
    ? Practical guidelines to build and fine-tune transformer models.
    ? Comprehensive code samples with detailed documentation.

    Description
    This book covers transformer architecture for various applications including NLP, computer vision, speech processing, and predictive modeling with tabular data. It is a valuable resource for anyone looking to harness the power of transformer architecture in their machine learning projects.

    The book provides a step-by-step guide to building transformer models from scratch and fine-tuning pre-trained open-source models. It explores foundational model architecture, including GPT, VIT, Whisper, TabTransformer, Stable Diffusion, and the core principles for solving various problems with transformers. The book also covers transfer learning, model training, and fine-tuning, and discusses how to utilize recent models from Hugging Face. Additionally, the book explores advanced topics such as model benchmarking, multimodal learning, reinforcement learning, and deploying and serving transformer models.

    In conclusion, this book offers a comprehensive and thorough guide to transformer models and their various applications.

    What you will learn
    ? Understand the core architecture of various foundational models, including single and multimodalities.
    ? Step-by-step approach to developing transformer-based Machine Learning models.
    ? Utilize various open-source models to solve your business problems.
    ? Train and fine-tune various open-source models using PyTorch 2.0 and the Hugging Face ecosystem.
    ? Deploy and serve transformer models.
    ? Best practices and guidelines for building transformer-based models.

    Who this book is for
    This book caters to data scientists, Machine Learning engineers, developers, and software architects interested in the world of generative AI.

    Table of Contents
    1. Transformer Architecture
    2. Hugging Face Ecosystem
    3. Transformer Model in PyTorch
    4. Transfer Learning with PyTorch and Hugging Face
    5. Large Language Models: BERT, GPT-3, and BART
    6. NLP Tasks with Transformers
    7. CV Model Anatomy: ViT, DETR, and DeiT
    8. Computer Vision Tasks with Transformers
    9. Speech Processing Model Anatomy: Whisper, SpeechT5, and Wav2Vec
    10. Speech Tasks with Transformers
    11. Transformer Architecture for Tabular Data Processing
    12. Transformers for Tabular Data Regression and Classification
    13. Multimodal Transformers, Architectures and Applications
    14. Explore Reinforcement Learning for Transformer
    15. Model Export, Serving, and Deployment
    16. Transformer Model Interpretability, and Experimental Visualization
    17. PyTorch Models: Best Practices and Debugging

    Wybrane bestsellery

    Selling helion.pl

    BPB Publications - inne książki

    Zamknij

    Przenieś na półkę

    Proszę czekać...
    ajax-loader

    Zamknij

    Wybierz metodę płatności

    Ebook
    84,99 zł
    Dodaj do koszyka

    Wydawnictwo Naukowe Helion »

    Grafika Wydawnictwo Naukowe Helion. Dołącz do nas!
    Zamknij Pobierz aplikację mobilną Ebookpoint