{"product_id":"neural-networks-introduction-to-artificial-neurons-backpropagation-and-multilayer-feedforward-neural-networks-with-real-world-applications-paperback","title":"Neural Networks: Introduction to Artificial Neurons, Backpropagation and Multilayer Feedforward Neural Networks with Real-World Applications - Paperback","description":"\u003cp\u003eby \u003cb\u003eMorgan Maynard\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eDo You Know Why Software Engineers Study the Human Brain?\u003c\/p\u003e\u003cp\u003e Software Engineers recognize that computers can process and store much more data than humans, yet even supercomputers can't carry out tasks that come easily to the human brain, such as facial recognition or 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 - \u003cstrong\u003eNeural Networks were born\u003c\/strong\u003e. These models are very simplistic, but fundamentally replicate the inner structures of our own brains downright to the functions of an individual neuron\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003eIn this book I show you exactly how engineres model the inner functions and structure of the human brains, covering the fundamental mathematical equations and underlying concepts. In particular, you will learn about...\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 train a Neural network (validation and testing techniques to avoid overfitting)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 54\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.11 x 9.02 x 5.98 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 06, 2020\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51790338752800,"sku":"9798642783528","price":13.48,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/1ff0c255c24e04d288cdeb2ad81c52b1.webp?v=1780675017","url":"https:\/\/ebocreations.com\/products\/neural-networks-introduction-to-artificial-neurons-backpropagation-and-multilayer-feedforward-neural-networks-with-real-world-applications-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}