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Avis et commentaires pour d'étudiants pour Image Classification with CNNs using Keras par Coursera Project Network

4.4
étoiles
539 évaluations
81 avis

À propos du cours

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....

Meilleurs avis

VN
10 août 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

SB
2 juin 2020

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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1 - 25 sur 81 Avis pour Image Classification with CNNs using Keras

par Manoj M

14 mai 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.

par Aditya

12 avr. 2020

good

par Mir S H

12 mai 2020

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

par Joshua K

30 mai 2020

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

par A V

29 juin 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.

par SAIKAT B

2 juin 2020

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

par Vishnu N

11 août 2020

This is a very good guided project.

I thank Amit Yadav and Coursera for his teaching in Image Classification with CNNs using Keras.

Thank You

par Lina J

3 déc. 2020

Great hands on CNN project.

The instructor's explanation and pace are very good.

Thank you Coursera

par Prakhar s

14 juin 2020

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

par AKANKSHA S

19 juil. 2020

project is good and the way of explaining the project is also good

par Akshay G

25 juin 2020

Very good course , deep understanding of an application of CNN

par seema n

23 juin 2020

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

par Shafia A

23 avr. 2020

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

par Shiju S

14 mai 2021

Really I learned a lot of information about CNN using Keras

par GAUTAM P

16 juin 2020

Thanks

Amit Yadav for providing hug information about keras

par Dr J T S

20 mai 2020

Learnt CNN and keras.Interesting interactive explanation

par Chandra J

14 mai 2020

very nice and useful courser for learning practical

par Tushar S

18 juin 2020

Its a good course for practicing your concepts

par Prakhya S

5 mai 2020

Very well explained and easy to understand.

par Raghuraj M

6 juil. 2020

It's a good beginner project to start on.

par Abdullah A N

27 avr. 2020

It is great project for the beginner.

par VaMsi L

2 avr. 2020

This project is helpfull for students

par SHIZA M

9 juil. 2020

Thankyou!

It was a good experience

par Jhuma

19 mars 2020

Thank you . It is really helpfull

par Rohan V

13 sept. 2020

very excellent of the teaching