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Avis et commentaires pour d'étudiants pour Image Data Augmentation with Keras par Coursera Project Network

4.6
étoiles
440 évaluations
69 avis

À propos du cours

In this 1.5-hour long project-based course, you will learn how to apply image data augmentation in Keras. We are going to focus on using the ImageDataGenerator class from Keras’ image preprocessing package, and will take a look at a variety of options available in this class for data augmentation and data normalization. Since this is a practical, project-based course, you will need to prior experience with Python programming, convolutional neural networks, and Keras with a TensorFlow backend. Data augmentation is a technique used to create more examples, artificially, from an existing dataset. This is useful if your dataset is small and you want to increase the number of examples. Data augmentation can often solve over-fitting so that your model generalizes well after training. For images, a variety of augmentation can be applied to increase the number of examples. Note: 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

SJ
17 avr. 2020

Perfect course for beginners, requires very little base to start. Highly recommend it, certainly worth the time. Do look into convolutional neural network briefly before you start.

RD
13 juin 2020

Amit sir has explained all the necessary concepts very briefly, But what I feel is someone need to have some knowledge regarding the working principles of CNN to opt this project.

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1 - 25 sur 69 Avis pour Image Data Augmentation with Keras

par ANURAG A J

10 juin 2020

Learnt a new and very useful skill of image data augmentation

par HARSHAL V S

9 juin 2020

Excellent Thank you for give me skill

par Yaron K

17 avr. 2021

Detailed example of how to do Data Augmentation with Keras. The complete notebook is included in the resource section of the project - so you can download it and run it on the platform of your choosing while listening to the lecturer in full screen (I find the fonts in split screen Rhyme/lecture to be too small, and having to all the time enlarge one split screen or the other - inconvenient).

par Sebastian J

18 avr. 2020

Perfect course for beginners, requires very little base to start. Highly recommend it, certainly worth the time. Do look into convolutional neural network briefly before you start.

par RUDRA P D

14 juin 2020

Amit sir has explained all the necessary concepts very briefly, But what I feel is someone need to have some knowledge regarding the working principles of CNN to opt this project.

par Jaisil R D

29 mai 2020

Its really amazing. The project guide was really amazing. He was explaning clearly with good pause such that I generated new ideas necessary ideas needed for my future goals!!

par Mohith S V C

29 mai 2020

A great course for beginners getting into the underlying concepts just enough and not go very deep yet be very clear with the explanation. why we are doing what we are doing.

par Gangappa M

10 juin 2020

This guided project approach has helped me a lot recollect the and streamline of my concepts in the real projects. Thank you a lot for giving me this good opportunity.

par Khair M M

14 mai 2020

This guided project helped me to learn and understand the importance of data augmentation and the complete process. It was very interesting and hands on experience.

par Hashan M

22 avr. 2020

Really enjoyable and satisfied with the instructor and the course content and course materials as well.

par Grace G N B

9 juil. 2020

Thanks Coursera and special thanks to our mentor Amit Yadav .Thats's really been a great project

par PIYUSH K S

30 juin 2020

i was working with dataset with very few example this will probably work.

par GLADSON V C

5 mai 2020

such a great platform to study a whole new field of argumentation.

par Ishaya J A

30 juin 2020

It was educative i really learn a lot about data augmentation

par Grace J

3 mai 2020

An excellent course, Mr. Amit Yadav explains very well.

par Dr. R K G

14 mai 2020

This course transfer learning in a simple steps.

par Jahnavi M

3 août 2020

Informative, Useful and Involving!!!!!

par Bindhu b T

21 avr. 2020

In short period of time I learnt more.

par Deleted A

6 juin 2020

It's really helpful to me..tqs a lot

par Sagar R

19 mai 2020

I was very gradfully for this study

par Dipan S

4 août 2020

A neat course . I am satisfied

par MUKIND S N

9 juin 2020

I understand data argumentg

par Mayank S

9 mai 2020

Thanks sir well taught.

par Anna S

9 mai 2020

It was good experience

par Pratham A

3 mai 2020

compact and precise