Module 02 · Deep Convolutional Models: Case Studies
Transfer Learning with MobileNet基于 MobileNet 的迁移学习
Programming Assignment: Transfer Learning with MobileNet
You have not submitted. You must earn 60/100 points to pass.
Deadline
Pass this assignment by Dec 29, 11:59 PM CST
Welcome to the fourth (required) assignment of Course 4 of the Deep Learning Specialization! You'll be using transfer learning on a pre-trained CNN to build an Alpaca/Not Alpaca classifier!
欢迎来到深度学习专项课程 4 的第四次（必修）作业！您将使用迁移学习在预训练的 CNN 上构建羊驼/非羊驼分类器！
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Do not use loops (for/while) in your code, unless the instructions explicitly ask you to do so.
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在您的代码中不要使用循环（for/while），除非指令明确要求这样做。
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Some code blocks contain graded functions, where you’ll be expected to write some code. These are marked at the top of the block by a #GRADED FUNCTION comment, and you’ll write your code in between the ### START SOLUTION HERE ### and ###END SOLUTION HERE### comments. Also, look for another comment that indicates roughly how many lines of code it will take to complete. After coding your function, run the cell right below it. This cell checks whether your results are correct, and cannot be modified.
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一些代码块包含评分函数，您需要编写一些代码。这些函数在代码块顶部以#评分函数注释标记，您将在### START SOLUTION HERE ###和###END SOLUTION HERE###注释之间编写代码。另外，寻找另一个注释，它大致说明了完成代码需要多少行。编写完函数后，运行其下方的单元格。此单元格检查您的结果是否正确，且不能被修改。
When you run that cell and see the following:
当你运行该单元格并看到以下内容：
"All tests passed." 所有测试均通过。
...You’re in good shape. :)
...你身体状况良好。 :)
Take your time to complete this assignment! After you are done, submit your work and check your results. You need to score 70% to pass. Good luck! :)
请慢慢完成这项作业！完成后，提交你的作品并检查你的结果。你需要得到 70%的分数才能通过。祝你好运！ :)
Click on "My Submission" above to see your grades. It might take up to one minute for the graders to process your submission. You will see the point breakdown of your assignment, along with the grader feedback.
点击上方的“我的提交”查看你的成绩。评分员处理你的提交可能需要长达一分钟。你将看到作业的得分分解，以及评分员的反馈。