menu
{ "item_title" : "Natural Intelligence Neuromorphic Engineering", "item_author" : [" Harold Szu "], "item_description" : "Natural Intelligence Neuromorphic Engineering provides readers with the most recent advances in deep learning, computational intelligence and Artificial Neural Networks (ANN), presenting detailed research and explanations of the physics and physiology principles used in developing natural intelligence for unsupervised learning of Blind Sources Separation (BSS). Author Harold Szu, a world-renowned pioneer in natural intelligence development, assembles a team of experts that cover the latest trends in deep learning, including sections on how to improve robust internal knowledge representation, big database data mining, and real time optical flow. This collaborative work offers researchers and graduate students the most up-to-date information on the theories and key applications in natural intelligence and deep learning towards real-time, error-free and automatic target recognition.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/12/812/349/0128123494_b.jpg", "price_data" : { "retail_price" : "150.00", "online_price" : "150.00", "our_price" : "150.00", "club_price" : "150.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Natural Intelligence Neuromorphic Engineering|Harold Szu

Natural Intelligence Neuromorphic Engineering

local_shippingShip to Me
On Order. Usually ships in 2-4 weeks
FREE Shipping for Club Members help

Overview

Natural Intelligence Neuromorphic Engineering provides readers with the most recent advances in deep learning, computational intelligence and Artificial Neural Networks (ANN), presenting detailed research and explanations of the physics and physiology principles used in developing natural intelligence for unsupervised learning of Blind Sources Separation (BSS). Author Harold Szu, a world-renowned pioneer in natural intelligence development, assembles a team of experts that cover the latest trends in deep learning, including sections on how to improve robust internal knowledge representation, big database data mining, and real time optical flow.

This collaborative work offers researchers and graduate students the most up-to-date information on the theories and key applications in natural intelligence and deep learning towards real-time, error-free and automatic target recognition.

This item is Non-Returnable

Details

  • ISBN-13: 9780128123492
  • ISBN-10: 0128123494
  • Publisher: Academic Press
  • Publish Date: January 2021
  • Page Count: 480

Related Categories

You May Also Like...

    1

BAM Customer Reviews