{"product_id":"neural-networks-easy-guide-to-artificial-neural-networks-artificial-intelligence-and-neural-network-concepts-explained-in-simple-term-paperback","title":"Neural Networks: Easy Guide to Artificial Neural Networks (Artificial Intelligence and Neural Network Concepts Explained in Simple Term - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eLaurie Thomas\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eThis book is all about how to use deep learning for computer vision using convolutional neural networks. These are the state of the art when it comes to image classification and they beat vanilla deep networks at tasks like mnist.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eIn this course we are going to up the ante and look at the streetview house number (svhn) dataset - which uses larger color images at various angles - so things are going to get tougher both computationally and in terms of the difficulty of the classification task.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBenefits of reading this book that you're not going to find anywhere else: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eIntroduction to neural networks\u003c\/li\u003e\n\u003cli\u003eStructures of neural networks\u003c\/li\u003e\n\u003cli\u003eBuilding a neural network\u003c\/li\u003e\n\u003cli\u003eThe construction of artificial neurons\u003c\/li\u003e\n\u003cli\u003eThe biological neurons model\u003c\/li\u003e\n\u003cli\u003eHow they work\u003c\/li\u003e\n\u003cli\u003eThe capabilities of neural network structure\u003c\/li\u003e\n\u003cli\u003eOrganizing your network\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDeep learning is a new concept that has emerged since the 2000s. While deep learning is new to it, this is not the case with artificial neural networks, a concept on which deep learning is based. We hear about the first artificial neuron in 1943 when warren mcculloch and walterpitts published their first mathematical and computer model of the biological neuron: the formal neuron. The formal neuron is directly inspired by the biological neuron.\u003c\/strong\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 192\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.41 x 8 x 5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 27, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52492163809587,"sku":"9781775267270","price":28.55,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/NlZHc0s3QzczV0Vub2dnRjI2Lyt4Zz09.webp?v=1759928388","url":"https:\/\/www.vysn.com\/en-ca\/products\/neural-networks-easy-guide-to-artificial-neural-networks-artificial-intelligence-and-neural-network-concepts-explained-in-simple-term-paperback","provider":"VYSN","version":"1.0","type":"link"}