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學生對 Coursera Project Network 提供的 Image Classification with CNNs using Keras 的評價和反饋

4.4
539 個評分
81 條評論

課程概述

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....

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VN
2020年8月10日

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

SB
2020年6月2日

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

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51 - Image Classification with CNNs using Keras 的 75 個評論(共 81 個)

創建者 Abhishek P G

2020年6月15日

good

創建者 Rifat R

2020年6月6日

Nice

創建者 Ankit G

2020年5月11日

GOOD

創建者 Patil B

2020年5月2日

nice

創建者 Rakesh k

2020年5月24日

No

創建者 Chintoo K

2020年9月16日

Good job by the instructor. But for a beginner to choose a particular dataset and performing image classification during preprocessing becomes a cumbersome task. CiFAR 10 dataset is already available in tf.keras's load_data module but using cv2 to read images and assigning label for any real world dataset would be more appreciable .

創建者 Jojo W

2020年6月3日

I understand that it is quite hard to explain how to code these scripts since the first task, it is not suitable for the Python and CNN beginner at all. However, the color code (red and green) is not explained deeper in more details, so that the output photos with colored texts are different from they should be.

創建者 Marcos R A

2020年6月28日

For me the project was what I expected for a 1-hour project, but it would be great if it could be performed without the virtual machine, it's quite problematic and I couldn't type some symbols (= or []) with the common combinations of my keyboard. Besides this, I really enjoyed this mini project.

創建者 Wan M A B M N

2020年10月22日

The tutorial was good but it would be great if theory is also being explain in details during the tutorials. This could help people to relate to the theory they learn and at the same time get to apply it during tutorials.

創建者 PRAGYA A

2020年5月19日

it was short n up to the mark, fully hands on and i came to know many new terms and their working. as it is a 1 hr assignment, this is just sufficient and satisfactory for beginners.

創建者 Mazhar M

2020年9月30日

Rhyme interface is very bad and slow,

I would not pay for courses on rhyme if it were not sponsored by my college

Very good content though for a begginer

創建者 Bhanu P M

2020年7月20日

Perfect project for polishing you deep learning skills mainly CNN and getting introduced to using dataset available globally.

創建者 Maddala N

2020年6月5日

The project is good and the instructor explains the main areas of the code very well.

創建者 Shashank J

2020年6月6日

Course was good but rhyme interface was bad and needs an improvement

創建者 Monica S A

2020年5月29日

it is very useful for my career development. I like this very much

創建者 Vedant A K

2020年5月9日

Not in depth, but still good for understanding

創建者 DEEPA G

2020年4月19日

Thank you...this course too helpful to me

創建者 Om P

2020年5月7日

Not in much details, still worth a try.

創建者 Kuldeep S S

2020年5月3日

Good Project for Biggener

創建者 Md. M H

2020年5月30日

so helpfull

創建者 SUSHANTA K S

2020年8月7日

Good

創建者 Pravendra S

2020年6月29日

nice

創建者 Krishan A

2020年5月12日

EASY

創建者 Kaushik R

2020年5月3日

e

創建者 Pragati

2020年6月4日

Please, explain the structure of the data used and also the libraries used before starting the actual project.