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Comentários e feedback de alunos de Image Classification with CNNs using Keras da instituição Coursera Project Network

4.4
estrelas
539 classificações
81 avaliações

Sobre o curso

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....

Melhores avaliações

VN
10 de Ago de 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 de Jun de 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 de 81 Avaliações para o Image Classification with CNNs using Keras

por Manoj M

14 de Mai de 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.

por Aditya

12 de Abr de 2020

good

por Mir S H

12 de Mai de 2020

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

por Joshua K

30 de Mai de 2020

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

por A V

29 de Jun de 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.

por SAIKAT B

2 de Jun de 2020

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

por Vishnu N

11 de Ago de 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

por Lina J

3 de Dez de 2020

Great hands on CNN project.

The instructor's explanation and pace are very good.

Thank you Coursera

por Prakhar s

14 de Jun de 2020

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

por AKANKSHA S

19 de Jul de 2020

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

por Akshay G

25 de Jun de 2020

Very good course , deep understanding of an application of CNN

por seema n

23 de Jun de 2020

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

por Shafia A

23 de Abr de 2020

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

por Shiju S

14 de Mai de 2021

Really I learned a lot of information about CNN using Keras

por GAUTAM P

16 de Jun de 2020

Thanks

Amit Yadav for providing hug information about keras

por Dr J T S

20 de Mai de 2020

Learnt CNN and keras.Interesting interactive explanation

por Chandra J

14 de Mai de 2020

very nice and useful courser for learning practical

por Tushar S

18 de Jun de 2020

Its a good course for practicing your concepts

por Prakhya S

5 de Mai de 2020

Very well explained and easy to understand.

por Raghuraj M

6 de Jul de 2020

It's a good beginner project to start on.

por Abdullah A N

27 de Abr de 2020

It is great project for the beginner.

por VaMsi L

2 de Abr de 2020

This project is helpfull for students

por SHIZA M

9 de Jul de 2020

Thankyou!

It was a good experience

por Jhuma

19 de Mar de 2020

Thank you . It is really helpfull

por Rohan V

13 de Set de 2020

very excellent of the teaching