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学生对 Coursera Project Network 提供的 Image Classification with CNNs using Keras 的评价和反馈

542 个评分
82 条评论


In this 1-hour long project-based course, you will learn how to create a Convolutional Neural Network (CNN) in Keras with a TensorFlow backend, and you will learn to train CNNs to solve Image Classification problems. In this project, we will create and train a CNN model on a subset of the popular CIFAR-10 dataset. 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 and convolutional 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....



Aug 10, 2020

This is a very good guided project.\n\nI thank Amit Yadav and Coursera for his teaching in Image Classification with CNNs using Keras.\n\nThank You


Jun 2, 2020

Really enjoyed learning from Amit Yadav. He promptly answers any query posted in the discussion forum. Looking forward to learning more from him.


76 - Image Classification with CNNs using Keras 的 82 个评论(共 82 个)

创建者 Baliram C

Jul 12, 2020

If you do not know the theory about CNN its nothing at all cause code is found everywhere.

创建者 Arvind K V

May 19, 2020

Very basic

创建者 Mehmet A M

Feb 28, 2022

This guided project uses a very cumbersome working environent on Rhyme. I use a German keyboard layout it causes many troubles at typing . Instead, Google Colab would be much efficient and straightforward. Unfortunately, I'll interrupt and won't follow this project anymore.

创建者 Mayank S

May 12, 2020

Worst instructor till now on coursera, just useless


Jun 20, 2020

Very bad experience with rhyme console

创建者 Deleted A

Apr 28, 2020

i want to unenroll this

创建者 Praveen K R L

Jul 9, 2020

Worthless project