Chevron Left
Вернуться к Image Classification with CNNs using Keras

Отзывы учащихся о курсе Image Classification with CNNs using Keras от партнера Coursera Project Network

4.4
звезд
Оценки: 524
Рецензии: 80

О курсе

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....

Лучшие рецензии

VN
10 авг. 2020 г.

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 июня 2020 г.

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

Фильтр по:

1–25 из 80 отзывов о курсе Image Classification with CNNs using Keras

автор: Manoj M

14 мая 2020 г.

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.

автор: Aditya

12 апр. 2020 г.

good

автор: Mir S H

12 мая 2020 г.

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

автор: Joshua K

30 мая 2020 г.

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

автор: A V

29 июня 2020 г.

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.

автор: SAIKAT B

2 июня 2020 г.

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

автор: Vishnu N

11 авг. 2020 г.

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

автор: Lina J

3 дек. 2020 г.

Great hands on CNN project.

The instructor's explanation and pace are very good.

Thank you Coursera

автор: Prakhar s

14 июня 2020 г.

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

автор: AKANKSHA S

19 июля 2020 г.

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

автор: Akshay G

25 июня 2020 г.

Very good course , deep understanding of an application of CNN

автор: seema n

23 июня 2020 г.

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

автор: Shafia A

23 апр. 2020 г.

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

автор: GAUTAM P

16 июня 2020 г.

Thanks

Amit Yadav for providing hug information about keras

автор: Dr J T S

20 мая 2020 г.

Learnt CNN and keras.Interesting interactive explanation

автор: Chandra J

14 мая 2020 г.

very nice and useful courser for learning practical

автор: Tushar S

18 июня 2020 г.

Its a good course for practicing your concepts

автор: Prakhya S

5 мая 2020 г.

Very well explained and easy to understand.

автор: Raghuraj M

6 июля 2020 г.

It's a good beginner project to start on.

автор: Abdullah A N

27 апр. 2020 г.

It is great project for the beginner.

автор: vamsilakshman

2 апр. 2020 г.

This project is helpfull for students

автор: SHIZA M

9 июля 2020 г.

Thankyou!

It was a good experience

автор: Jhuma

19 мар. 2020 г.

Thank you . It is really helpfull

автор: Rohan V

13 сент. 2020 г.

very excellent of the teaching

автор: TEJAS P

11 сент. 2020 г.

Wonderful learning experience