£121.00

Wiley-IEEE Press Deep Learning Meets FPGA Book

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Description

Explore the intersection of advanced neural networks and hardware acceleration with Deep Learning Meets FPGA: Efficient Signal Processing Solutions. Published by Wiley-IEEE Press, this technical resource focuses on implementing efficient signal processing through the use of Field Programmable Gate Arrays (FPGAs). As artificial intelligence continues to evolve, the need for high-performance hardware solutions becomes more important. This book provides insights into how deep learning architectures can be optimized for FPGA platforms to achieve superior signal processing results. It serves as a specialized guide for professionals and students working within the fields of computer science, AI, and machine learning. By bridging the gap between software-based deep learning models and hardware-level execution, this text offers a pathway to more efficient computational workflows. Whether you are researching new algorithms or implementing real-time signal processing, this publication provides the technical foundation required to navigate the complex landscape of modern computing and hardware integration.

Key Features

Technical guidance on combining deep learning architectures with FPGA hardware for improved signal processing efficiency.

Specialized content focused on the integration of AI and machine learning with hardware acceleration techniques.

Published by Wiley-IEEE Press to ensure high standards for technical accuracy in the computer science field.

Designed for professionals and students studying the intersection of artificial intelligence and hardware implementation.

Provides a foundation for understanding efficient signal processing solutions in modern computing environments.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
15 June 2026
Listed Since
27 January 2025

Barcode

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