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Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Advanced Deep Learning Architectures: CNNs, RNNs, Transformers, Attention Mechanisms, LLMs, and Graph Neural Networks

Advanced Deep Learning Architectures: CNNs, RNNs, Transformers, Attention Mechanisms, LLMs, and Graph Neural Networks

Paperback

Series: Axionics AI Mastery Series 2025, Book 3

Programming

ISBN13: 9798291198346
Publisher: Independently Published
Published: Jul 5 2025
Pages: 152
Weight: 0.47
Height: 0.33 Width: 6.00 Depth: 9.00
Language: English
This comprehensive guide explores cutting-edge deep learning models and their real-world applications. Covering convolutional, recurrent, and attention-based networks, it dives deep into the architectures that power modern AI.

From CNNs and RNNs to transformers, LLMs, and GNNs, the book offers both theoretical insights and practical case studies. It also addresses efficiency, scalability, and ethical considerations in deep learning.

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Programming