Chevron Left
返回到 Siamese Network with Triplet Loss in Keras

学生对 Coursera Project Network 提供的 Siamese Network with Triplet Loss in Keras 的评价和反馈

4.8
48 个评分
10 条评论

课程概述

In this 2-hour long project-based course, you will learn how to implement a Triplet Loss function, create a Siamese Network, and train the network with the Triplet Loss function. With this training process, the network will learn to produce Embedding of different classes from a given dataset in a way that Embedding of examples from different classes will start to move away from each other in the vector space. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with (e.g. Python, Jupyter, and Tensorflow) pre-installed. Prerequisites: In order to be successful in this project, you should be familiar with Python, Keras, Neural Networks. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

热门审阅

筛选依据:

1 - Siamese Network with Triplet Loss in Keras 的 10 个评论(共 10 个)

创建者 Joerg A

May 27, 2020

Very well instructed, I learned both a new technology and something for good python programming habits. Explanations come to the point and still are deep. Test are not stupid simple questions, but still easy to answer. And I got the impression the instructor even knows about the pain with Rhyme (and seems to do something about it !)

创建者 Abhishek P G

Jun 17, 2020

I like the way we got involved into practice by setting goals which are a bit challenging yet we want to achieve successfully.

创建者 Fabian L

Jun 14, 2020

it's so great for two hours, is just a preview, but is good

创建者 Angshuman S

Jun 15, 2020

Nice crisp and knowledgeable course

创建者 XAVIER S M

Jun 02, 2020

Very Helpful !

创建者 Doss D

Jun 14, 2020

Thank you

创建者 Sourav D

Jun 01, 2020

Excellent

创建者 sarithanakkala

Jun 24, 2020

Good

创建者 Siddhesh S

Apr 20, 2020

This course has nice content, but the usage is difficult. Ever after having fast internet, the videos and the environment were so slow, making it almost impossible to be used.

创建者 Isra P

Apr 13, 2020

Incomplete course, the prediction is very important not only training!