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Item #:
89938768
Building Transformer Models with PyTorch 2.0: NLP, computer vision, and speech processing with PyTorch and Hugging Face English Edition
Item #:
89938768
BDT 6515
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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.
Product Details
| Item Weight | 1.5 lbs (680 grams) |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for those starting out in machine learning and seeking to build expertise in transformer models.
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Machine Learning Professionals
Beneficial for practitioners looking to enhance their skills in NLP, CV, and speech processing using PyTorch.
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Educators and Trainers
Useful for instructors teaching modern AI topics, providing valuable examples and practical applications of transformers.
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Complete Beginners
Not suitable for individuals lacking foundational knowledge of programming and machine learning concepts.
Product Description
Building Transformer Models with PyTorch 2.0: NLP, computer vision, and speech processing with PyTorch and Hugging Face English Edition
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Customer Questions & Answers
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Question:
What kind of projects does this book cover?
Answer: The book covers projects related to NLP, computer vision, speech processing, and more, focusing on practical applications. -
Question:
Is the book suitable for beginners in machine learning?
Answer: Yes, it provides foundational theoretical knowledge paired with practical chapters, making it accessible for beginners. -
Question:
How does the book help with model performance enhancement?
Answer: It discusses advanced techniques such as fine-tuning and benchmarking to enhance model performance effectively.
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BDT 6515
Order now and get it around Friday, July 31
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
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Features & Benefits
- 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.
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