Artículo: AMZ-B0FR3BX61V

Deep Learning in Engineering: Neural Networks for Robotics and Automation

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0.20 kg
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Amazon

Sobre este producto
  • Comprehensive Coverage: From foundational neural network architectures to advanced reinforcement learning and real-time robotic control, this book provides a holistic view. Dive deep into perception systems, sensor fusion, motion planning, and human-robot interaction—all powered by deep learning.
  • Practical, Production-Ready Focus: Unlike other texts, Dr. Sterling emphasizes practical application and scalable solutions. Learn how to design robust, efficient, and deployable AI systems that meet industry standards. This isn't just theory; it's about building the future.
  • Perfect for Exam Candidates: If you're preparing for certifications or advanced engineering exams, the meticulous explanations, detailed numerical examples, and step-by-step derivations in this book will give you an unparalleled advantage. Master complex topics with confidence.
  • Deep Learning Fundamentals: Grasp core concepts of neural networks, backpropagation, and optimization.
  • Computer Vision for Robotics: Implement advanced image recognition, object detection, and 3D perception.
  • Robotic Control Systems: Develop intelligent control strategies using deep reinforcement learning.
  • Real-time & Embedded AI: Optimize models for efficiency and deployment on robotic hardware.
  • Ethical AI Development: Understand the crucial considerations for responsible AI in automation.

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