Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow
In this comprehensive guide, you will learn about:
- Perceptron and Artificial Neurons: The fundamental building blocks of deep neural networks.
- Feedforward and Convolutional Networks: Apply these networks to practical problems.
- Natural Language Encoding: Capturing semantics to build neural-based translators.
- Image-Captioning Networks: Automatically generating descriptions from images.
Publisher: Addison-Wesley Professional; 1st edition (August 17, 2021)
Language: English
Paperback: 752 pages
ISBN-10: 0137470355
ISBN-13: 978-0137470358
Item Weight: 2.15 pounds
Dimensions: 7.3 x 1.1 x 9 inches
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Getting Started with Natural Language Processing
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Transformers for Natural Language Processing and Computer Vision: Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3
The 3rd edition, published by Packt Publishing, dives deep into LLMs and generative AI. This comprehensive guide, with 728 pages, is designed to empower tech professionals by sharing essential knowledge and cutting-edge techniques. Key features include:
- ISBN-10: 1805128728
- ISBN-13: 978-1805128724
- Weight: 2.75 pounds
- Dimensions: 1.51 x 7.5 x 9.25 inches
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Speech and Language Processing, 2nd Edition
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Machine Intelligence: Computer Vision and Natural Language Processing
Publisher: Auerbach Publications; 1st edition
Publication date: October 3, 2023
Language: English
File size: 54604 KB
Simultaneous device usage: Up to 4 simultaneous devices, per publisher limits
Text-to-Speech: Not enabled
Enhanced typesetting: Not Enabled
X-Ray: Not Enabled
Word Wise: Not Enabled
Format: Print Replica
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Transformers for Natural Language Processing – Second Edition: 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 – Second Edition
Packt Publishing, a leader in technical learning content, presents the second edition of Transformers for Natural Language Processing. This comprehensive guide helps tech professionals leverage deep neural network architectures using Python, Hugging Face, and OpenAI’s advanced models. With 602 pages of insights, the book enables readers to build, train, and fine-tune models effectively.
Details | Information |
---|---|
Publisher | Packt Publishing |
Language | English |
ISBN-10 | 1803247339 |
ISBN-13 | 978-1803247335 |
Item Weight | 2.25 pounds |
Dimensions | 7.5 x 1.22 x 9.25 inches |
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