Front Matter -- Introduction -- Deep Learning -- Parallel Architecture -- Streaming Graph Theory -- Convolution Optimization -- In-Memory Computation -- Near-Memory Architecture -- Network Sparsity -- 3D Neural Processing -- Appendix A: Neural Network Topology -- Index

Includes bibliographical references and index.

Online resource; title from PDF title page (John Wiley, viewed August 30, 2021).

In Artificial Intelligence Hardware Design: Challenges and Solutions, distinguished researchers and authors Drs. Albert Chun Chen Liu and Oscar Ming Kin Law deliver a rigorous and practical treatment of the design applications of specific circuits and systems for accelerating neural network processing. Beginning with a discussion and explanation of neural networks and their developmental history, the book goes on to describe parallel architectures, streaming graphs for massive parallel computation, and convolution optimization.

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