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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
369 個評分
66 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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SB

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.

PS

Jun 14, 2020

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

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1 - Image Classification with CNNs using Keras 的 25 個評論(共 66 個)

創建者 Manoj M

May 14, 2020

The project was straight to the point and the instructor did not waste any time talking about every basic code segment. The code used in the project is the most optimised and simple code of CNN using Keras I have ever seen. Thanks to Coursera for the new guided projects.

創建者 Aditya

Apr 12, 2020

good

創建者 Mir S H

May 12, 2020

Need more explanation. Tough to understand every concept for beginners with little knowledge about CNN. Cover some theory before going to practice.

創建者 Joshua K

May 30, 2020

Great tutorial, however, He needs to give some more explanations on why he does what he does.

創建者 A V

Jun 29, 2020

Easy to understand once we are okay with the specific terms and its roles in the image processing techniques and that too with keras its a versatile one. Great tool and not to be missed by any ML engineer.

創建者 SAIKAT B

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.

創建者 Prakhar s

Jun 14, 2020

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

創建者 Akshay G

Jun 25, 2020

Very good course , deep understanding of an application of CNN

創建者 Seema N

Jun 23, 2020

Easy to understand and it is good to start with for beginners.

創建者 Shafia A

Apr 23, 2020

It's a very helpful project for first time working with CNN.

創建者 GAUTAM P

Jun 16, 2020

Thanks

Amit Yadav for providing hug information about keras

創建者 Dr J T S

May 20, 2020

Learnt CNN and keras.Interesting interactive explanation

創建者 Dr. C J

May 14, 2020

very nice and useful courser for learning practical

創建者 Tushar S

Jun 18, 2020

Its a good course for practicing your concepts

創建者 Prakhya S

May 05, 2020

Very well explained and easy to understand.

創建者 Raghuraj M

Jul 06, 2020

It's a good beginner project to start on.

創建者 Abdullah A N

Apr 27, 2020

It is great project for the beginner.

創建者 vamsilakshman

Apr 02, 2020

This project is helpfull for students

創建者 SHIZA M

Jul 09, 2020

Thankyou!

It was a good experience

創建者 Jhuma

Mar 19, 2020

Thank you . It is really helpfull

創建者 Paresh m j

May 01, 2020

It was good experience at all

創建者 Vinod D S

Jun 18, 2020

I had a great experience.

創建者 Mahad A

May 30, 2020

Excellent Guided Project

創建者 Nour E Q

Apr 15, 2020

perfect, quick review

創建者 Yatish G

Apr 13, 2020

it was great to learn