원본 보기
0 ratings
Building Transformer Models with PyTorch 2.0: NLP, computer vision, and speech processing with PyTorch and Hugging Face English Edition
genuine image
Building Transformer Models with PyTorch 2.0: NLP, computer vision, and speech processing with PyTorch and Hugging Face English Edition
Your key to transformer based NLP, vision, speech, and multimodalities.
Building Transformer Models with PyTorch 2.0: NLP, computer vision, and speech processing with PyTorch and Hugging Face English Edition
제품번호 #: 89938768

Building Transformer Models with PyTorch 2.0: NLP, computer vision, and speech processing with PyTorch and Hugging Face English Edition

제품번호 #: 89938768

KRW 80540

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from 미국

0 ratings 리뷰 작성
재고
미국 USA 스토어에서 가져옴

QTY:

지금 주문하시면 도착 예정일 수요일, 6월 24
Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
Your key to transformer based NLP, vision, speech, and multimodalities.
U-Care 보증:
없음
요금제 선택
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment
bank transfer payment
l. pay payment
culture voucher payment
cashbee payment
toss pay payment
kakao pay payment
lg pay payment
samsung pay payment
credit cards korea payment
happy money payment
teencash payment
t-money payment
book gift voucher payment
egg money payment
mobiamo payment
payco payment
Note: Step Down Voltage Transformer required for using electronics products of 미국 store (110-120). Recommended power converters 지금 구매.

What Stands Out

Comprehensive Coverage
Covers NLP, computer vision, and speech processing, offering a holistic understanding of transformer models' applications in multiple domains, making it suitable for diverse interests.
Latest Framework Features
Utilizes PyTorch 2.0, ensuring readers learn cutting-edge techniques and tools, keeping them ahead in the rapidly evolving field of machine learning.
Hands-on Examples
Provides practical examples using Hugging Face, enabling readers to apply concepts immediately, enhancing learning through real-world projects and increasing engagement.

제품 세부 정보

Shop Building Transformer Models with PyTorch 2.0: NLP, computer vision, and speech processing with PyTorch and Hugging Face English Edition online at a best price in South Korea. 9355517491
Item Weight1.5 lbs (680 grams)

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Ideal for those starting out in machine learning and seeking to build expertise in transformer models.

  • Machine Learning Professionals

    Beneficial for practitioners looking to enhance their skills in NLP, CV, and speech processing using PyTorch.

  • Educators and Trainers

    Useful for instructors teaching modern AI topics, providing valuable examples and practical applications of transformers.

Not Suitable For
  • Complete Beginners

    Not suitable for individuals lacking foundational knowledge of programming and machine learning concepts.

  • Casual Learners

    May not suit those seeking light, less technical material on AI without deep dives into programming.

  • Non-technical Roles

    Not recommended for users in business or managerial roles without a background in AI or programming skills.

제품 설명

Building Transformer Models with PyTorch 2.0: NLP, computer vision, and speech processing with PyTorch and Hugging Face English Edition

질문이 있으십니까? 채팅하기

고객 질문 및 답변

  • 의문: What kind of projects does this book cover?

    답변: The book covers projects related to NLP, computer vision, speech processing, and more, focusing on practical applications.
  • 의문: Is the book suitable for beginners in machine learning?

    답변: Yes, it provides foundational theoretical knowledge paired with practical chapters, making it accessible for beginners.
  • 의문: How does the book help with model performance enhancement?

    답변: It discusses advanced techniques such as fine-tuning and benchmarking to enhance model performance effectively.

Natural Language Processing Editorial Review

In the world of machine learning and data science, understanding transformer models is becoming increasingly crucial. "Building Transformer Models with PyTorch 2.0" has been well-received by readers looking to dive into the practical applications of these advanced concepts. Overall, customers appreciate the book's structured approach and clear explanations, which make complex topics more accessible, especially for those with limited prior knowledge. Many reviewers highlighted the book's effectiveness in teaching the fundamentals of transformer models alongside practical experience. The step-by-step instructions and readily available code examples significantly enhance the learning process, allowing readers to engage actively with the material. This hands-on approach, coupled with the logical sequence of content, encourages a deeper understanding of the architecture and various applications, such as in natural language processing, computer vision, and speech processing. The inclusion of quizzes also adds an interactive element, enabling learners to assess their understanding as they progress. Notably, some customers expressed that the initial chapters provide a solid foundation in transformer architecture, making it easier to tackle more advanced topics. The availability of visual aids and links to supplementary resources, such as Google Colab files, further enrich the learning experience. Meanwhile, a few isolated mentions of issues regarding the book's content being misaligned with the cover suggest that while there are occasional discrepancies, they do not significantly detract from the overall value of the book. In summary, "Building Transformer Models with PyTorch 2.0" serves as an excellent introduction to the field of machine learning, combining theory and practice effectively, making it a top choice for both beginners and those looking to solidify their knowledge in a rapidly evolving domain. **

Customer Reviews & Ratings

4.0
1 고객 평가
  • 5 점
    0%
  • 4 점
    100%
  • 3 점
    0%
  • 2 점
    0%
  • 1 점
    0%

이 제품 리뷰하기

다른 고객들과 의견을 공유하세요.

장점

  • Structured and logical presentation of complex topics
  • Step-by-step practical examples
  • Readily available code examples on Google Colab
  • Interactive quizzes for knowledge assessment
  • Helpful visual aids for understanding architecture

단점

  • Occasional content discrepancies noted by a few readers

Product Price History

중요 정보

  • 제한 사항: 국제 배송되는 제품의 경우 제조업체 보증이 유효하지 않을 수 있으며, 제조업체 서비스 옵션을 사용하지 못하거나 제품 설명서, 지침 및 안전 경고가 대상 국가 언어로 표시되지 않을 수 있으며, 제품(및 첨부 자료)은 도착 국가 표준, 사양 및 라벨링 요구 사항에 따라 설계되지 않을 수 있으며, 제품은 목적지 국가 전압 및 기타 전기 표준을 준수하지 않을 수 있습니다(가능한 경우 어댑터 또는 변환기 사용 필요). 수령인은 제품을 도착 국가로 합법적으로 수입할 수 있는지 확인할 책임이 있습니다. Ubuy 또는 그 제휴사에서 주문할 때, 수령인은 기록 수입자로서 도착 국가의 모든 법률과 규정을 준수해야 합니다.
  • Ubuy는 글로벌 검색 엔진이므로 Ubuy에 나열된 모든 제품이 판매용은 아닙니다. 제품은 수출/무역 규정을 따릅니다.

KRW 80540

지금 주문하시면 도착 예정일 수요일, 6월 24

QTY:

Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
Fastest cross-border delivery

특징 및 장점

  • Explore advanced machine learning topics like model debugging and reinforcement learning.
  • Dual-chapter approach connects theoretical knowledge with practical skills across major domains.
  • Hands-on activities engage readers and solidify learning.
  • Includes a dedicated chapter on utilizing the Hugging Face ecosystem for model training and deployment.
  • Comprehensive insights into large language models such as BERT and GPT-3.
  • Step-by-step guidance on building and fine-tuning transformer models for varied applications.