【课程四(Convolutional Neural Networks)，第四 周（Special applications: Face recognition & Neural style transfer） —— 1.Practice quentions】的更多相关文章

[C4W4] Convolutional Neural Networks - Special applications: Face recognition & Neural style transfer

第四周:Special applications: Face recognition & Neural style transfer 什么是人脸识别?(What is face recognition?) 欢迎来到第四周,即这门课卷积神经网络课程的最后一周.到目前为止,你学了很多卷积神经网络的知识.我这周准备向你展示一些重要的卷积神经网络的特殊应用,我们将从人脸识别开始,之后讲神经风格迁移,你将有机会在编程作业中实现这部分内容,创造自己的艺术作品. 让我们先从人脸识别开始,我这里有一个有意思的演…

课程四(Convolutional Neural Networks)，第四 周（Special applications: Face recognition & Neural style transfer） —— 2.Programming assignments：Art generation with Neural Style Transfer

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课程四(Convolutional Neural Networks)，第四 周（Special applications: Face recognition & Neural style transfer） —— 3.Programming assignments：Face Recognition for the Happy House

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课程四(Convolutional Neural Networks)，第四 周（Special applications: Face recognition & Neural style transfer） —— 1.Practice quentions

[解释] This allows us to learn to predict a person’s identity using a softmax output unit, where the number of classes equals the number of persons in the database plus 1 (for the final “not in database” class). 上述选项错误的原因: 1.plus 1的解释错误: 将某人的照片放进卷积神经网络…

课程四(Convolutional Neural Networks)，第二 周（Deep convolutional models: case studies） —— 2.Programming assignments : Keras Tutorial - The Happy House (not graded)

Keras tutorial - the Happy House Welcome to the first assignment of week 2. In this assignment, you will: Learn to use Keras, a high-level neural networks API (programming framework), written in Python and capable of running on top of several lower-l…

课程四(Convolutional Neural Networks)，第一周（Foundations of Convolutional Neural Networks） —— 3.Programming assignments：Convolutional Model: application

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课程四(Convolutional Neural Networks)，第一周（Foundations of Convolutional Neural Networks） —— 2.Programming assignments：Convolutional Model: step by step

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课程四(Convolutional Neural Networks)，第二 周（Deep convolutional models: case studies） —— 0.Learning Goals

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课程四(Convolutional Neural Networks)，第二 周（Deep convolutional models: case studies） —— 1.Practice questions

[解释] 应该是same padding 而不是 valid padding . [解释] 卷积操作用的应该是adding additional layers to the network ,而是应该添加跳跃连接(Skip connection). [解释] 这一题感觉四个选项都是对的,但是提交答案的时候,显示答案有错误.欢迎留言讨论. ---------------------------------------------------------- 参考链接: 1.https://www.c…