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Image Classification with CNNs using Keras に戻る

Coursera Project Network による Image Classification with CNNs using Keras の受講者のレビューおよびフィードバック



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....



Jun 03, 2020

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


Jun 14, 2020

if you have knowledge about CNN and Keras then it is good project as a practice and revision.


Image Classification with CNNs using Keras: 51 - 68 / 68 レビュー


Jun 05, 2020

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

by Shashank J

Jun 06, 2020

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

by Monica S A

May 29, 2020

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

by Vedant A K

May 09, 2020

Not in depth, but still good for understanding


Apr 19, 2020

Thank you...this course too helpful to me

by Om P

May 07, 2020

Not in much details, still worth a try.

by Kuldeep S S

May 03, 2020

Good Project for Biggener

by Md. M H

May 30, 2020

so helpfull

by Pravendra S

Jun 29, 2020


by Krishan A

May 12, 2020



May 03, 2020


by Pragati

Jun 04, 2020

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

by Baliram C

Jul 12, 2020

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

by Arvind K V

May 20, 2020

Very basic

by Mayank S

May 12, 2020

Worst instructor till now on coursera, just useless


Jun 20, 2020

Very bad experience with rhyme console

by Deleted A

Apr 28, 2020

i want to unenroll this

by Praveen K R L

Jul 09, 2020

Worthless project