神经网络如何思考(MIT)
通用技术揭示了训练处理语言的神经网络的内部工作原理。
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<blockquote class="wp-embedd -content" data-secret="WfT6b76w7Y"><a href="https://s新利体育下载注册emiengineering.com/how-neural-networks-think-mit/">How Neural Networks Think (MIT)</a></blockquote><iframe sandbox=" permit -scripts" security="restricted" src="//www.es-frst.com/how-neural-networks-think-mit/embed/#?secret=WfT6b76w7Y" width="600" height="400" title="“How Neural Networks Think (MIT)”& # 8212;Semiconductor Engineering" data-secret="WfT6b76w7Y" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript"> /*!这个文件是自动生成的*/ !function(c,l){"use strict";var e=!1,o=!1;if(l. queryselector)if(c.a deventlistener)e=!0;if(c.p p||{}， c.p p. receiveembedmessage);else if(c.p p. receiveembedmessage =function(e){var t= e.p data;if(!t);else if((r, s, i = l.querySelectorAll(的iframe(数据秘密= " + t.secret +”]”),n = l.querySelectorAll(“blockquote[数据秘密=“+ t.secret +”)”),o = 0; o < n.length; o + +) n [o] .style.display =“没有”;(o = 0; o < i.length; o + +)如果(r =我[o], e.source ! = = r.contentWindow);其他{如果(r.removeAttribute(“风格”),“高度”= = = t.message){如果(1 e3 < (s =方法(t.value 10))) s = 1 e3;if(~~s<200)s=200;r.height=s}if("link"===t.message)if(s=l.createElement("a")，a=l.createElement("a")，s.href=r. getattribute ("src")，a.href=t.value,a.host===s.host)if(l.activeElement===r)c.top.location.href=t.value}}}，e)c.addEventListener("message"，c.wp.receiveEmbedMessage，!1)，l.addEventListener("DOMContentLoaded"，t，!1)，c.addEventListener("load"，t，!1);function t(){if(o);indexOf(“MSIE 10”),a = ! ! navigator.userAgent.match(/三叉戟。*房车:11 \。/),i = l.querySelectorAll(“iframe.wp-embedded-content”),n = 0; n < i.length; n + +){如果(! (r = (t =我[n]) .getAttribute(“公开数据”)))r = math . random () .toString (36) .substr (10), t.src + = " # ?秘密= " + r, t.setAttribute(“公开数据”,r);如果(| |)(e = t.cloneNode (0)) .removeAttribute(“安全”),t.parentNode.replaceChild (e t); t.contentWindow.postMessage({信息:“准备好了”,秘密:r },"*")}}}}( 窗口、文档);> < /脚本
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