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{ "item_title" : "Embedded Deep Learning & Generative AI Algorithms", "item_author" : [" Muhammad Asim "], "item_description" : "Embedded deep learning & generative AI algorithms offer a systematic exploration of deep learning and generative artificial intelligence within embedded systems, meticulously crafted to equip readers with theoretical foundations and applied expertise. Structured as a progressive intellectual journey, the text methodically shepherds readers from elementary principles to sophisticated implementations while addressing the nuanced complexities inherent in resource-constrained environments. Bringing abstract algorithmic frameworks with pragmatic engineering considerations fosters a pedagogical synergy between innovation and practicality, underscored by case studies and industry-relevant scenarios illuminating the intersection of cutting-edge AI and embedded architectures. The treatise prioritizes not only conceptual mastery but also the cultivation of problem-solving acumen, preparing practitioners to navigate the evolving landscape of intelligent systems design amidst real-world constraints.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/831/338/9798313387239_b.jpg", "price_data" : { "retail_price" : "19.00", "online_price" : "19.00", "our_price" : "19.00", "club_price" : "19.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Embedded Deep Learning & Generative AI Algorithms|Muhammad Asim

Embedded Deep Learning & Generative AI Algorithms

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Overview

Embedded deep learning & generative AI algorithms offer a systematic exploration of deep learning and generative artificial intelligence within embedded systems, meticulously crafted to equip readers with theoretical foundations and applied expertise. Structured as a progressive intellectual journey, the text methodically shepherds readers from elementary principles to sophisticated implementations while addressing the nuanced complexities inherent in resource-constrained environments. Bringing abstract algorithmic frameworks with pragmatic engineering considerations fosters a pedagogical synergy between innovation and practicality, underscored by case studies and industry-relevant scenarios illuminating the intersection of cutting-edge AI and embedded architectures. The treatise prioritizes not only conceptual mastery but also the cultivation of problem-solving acumen, preparing practitioners to navigate the evolving landscape of intelligent systems design amidst real-world constraints.

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Details

  • ISBN-13: 9798313387239
  • ISBN-10: 9798313387239
  • Publisher: Independently Published
  • Publish Date: March 2025
  • Dimensions: 9 x 6 x 1.06 inches
  • Shipping Weight: 1.53 pounds
  • Page Count: 526

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