{"product_id":"neural-networks-introduction-to-artificial-neurons-backpropagation-algorithms-and-multilayer-feedforward-networks-9781977662279","title":"Neural Networks: Introduction to Artificial Neurons, Backpropagation Algorithms and Multilayer Feedforward Networks","description":"\u003cp\u003e • Author(s): Joshua Chapmann\u003cbr\u003e • Publisher: Createspace Independent Publishing Platform\u003cbr\u003e • Publisher Imprint: Createspace Independent Publishing Platform\u003cbr\u003e • BISAC: Computer Engineering\u003c\/p\u003e\u003cp\u003eWhy are engineers studying the human brain?\u003c\/p\u003e\u003cp\u003eThey are not doing it for fun, medical research or some form of global engineering competition. Engineers recognized that computers can process and store much more data than humans, yet even supercomputers can't carry out tasks that the brain finds very simple such as facial recognition and natural language processing. MIT's state-of-the-art research facility, named \"Centre for Brains, Minds and Machines\", is a perfect testimonial to this fundamental interaction between the human brain and computers in today's world.\u003c\/p\u003e\u003cp\u003eHence engineers began studying the processes and structures of our human brains, hoping to build a computer model of its functions - \u003cb\u003eNeural Networks were born\u003c\/b\u003e. These models are very simplistic, but fundamentally replicate on the inner structures of our own brains downright to the arrangement of individual brain cells, i.e. neurons. \u003c\/p\u003e\u003cp\u003eIn this book I show you exactly how engineers model the inner functions and structure of the human brain, covering the fundamental mathematical equations and underlying concepts. In particular you will learn: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eHow to Build a Computer model of a Brain Cell (or Neuron) \u003c\/li\u003e\n\u003cli\u003eThe Fundamental properties of a Neural Network \u003c\/li\u003e\n\u003cli\u003eMultilayer Forward Networks\u003c\/li\u003e\n\u003cli\u003eUsing the Backpropagation algorithm to learn and adapt\u003c\/li\u003e\n\u003cli\u003eCounter Propagation Networks\u003c\/li\u003e\n\u003cli\u003eHow to effectively train, validate and test a Neural network (avoiding overfitting)\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Createspace Independent Publishing Platform","offers":[{"title":"Paperback","offer_id":45541763022999,"sku":"9781977662279","price":1218.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781977662279.webp?v=1767120554","url":"https:\/\/atlanticbooks.com\/products\/neural-networks-introduction-to-artificial-neurons-backpropagation-algorithms-and-multilayer-feedforward-networks-9781977662279","provider":"Atlantic Books","version":"1.0","type":"link"}