son of the babies第十周小组周报

111211韩义轩 2023-05-20 23:12:43

一、本周计划任务

完成了迭代二的任务

进行软件整体测试

二、本周实际完成任务

完成了迭代二的剩余任务

对软件的各个功能进行测试

三、成果展示

 

 

 

 

 

 

 

 

 

 

四、感悟

总体来说我们小组在这次开发中的表现还是不错的,每一位成员都积极完成了自己的任务并提出了自己的想法和建议。很多成员的能力在这次任务中都得到了肉眼可见的提升。在此由衷感谢各位成员们的辛勤付出!

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SoftwareTeacher 2023-05-30
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很多成员的能力在这次任务中都得到了肉眼可见的提升


他们的博客可以列出来么?

The Deep Learning Revolution (The MIT Press) By 作者: Terrence J. Sejnowski ISBN-10 书号: 026203803X ISBN-13 书号: 9780262038034 出版日期: 2018-10-23 pages 页数: (352) How deep learning―from Google Translate to driverless cars to personal cognitive assistants―is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.
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