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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
TZS 150717
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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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TZS 150717
Order now and get it around Friday, July 31
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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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