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Вернуться к Image Data Augmentation with Keras

Отзывы учащихся о курсе Image Data Augmentation with Keras от партнера Coursera Project Network

4.6
звезд
Оценки: 441
Рецензии: 70

О курсе

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....

Лучшие рецензии

AQ
22 нояб. 2021 г.

The instructor, Amit Yadav, is very clear in his instruction and provide great explanation on his model building, and compiling. Definitely a great course to get some deep learning skills.

SJ
17 апр. 2020 г.

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.

Фильтр по:

1–25 из 70 отзывов о курсе Image Data Augmentation with Keras

автор: ANURAG A J

10 июня 2020 г.

Learnt a new and very useful skill of image data augmentation

автор: HARSHAL V S

9 июня 2020 г.

Excellent Thank you for give me skill

автор: Yaron K

17 апр. 2021 г.

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).

автор: Adam Q

22 нояб. 2021 г.

T​he instructor, Amit Yadav, is very clear in his instruction and provide great explanation on his model building, and compiling. Definitely a great course to get some deep learning skills.

автор: Sebastian J

18 апр. 2020 г.

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.

автор: RUDRA P D

14 июня 2020 г.

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.

автор: Jaisil R

29 мая 2020 г.

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!!

автор: Mohith S V C

29 мая 2020 г.

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.

автор: Gangappa M

10 июня 2020 г.

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.

автор: Khair M M

14 мая 2020 г.

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.

автор: Hashan M

22 апр. 2020 г.

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

автор: Grace G N B

9 июля 2020 г.

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

автор: PIYUSH K S

30 июня 2020 г.

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

автор: GLADSON V C

5 мая 2020 г.

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

автор: Ishaya J A

30 июня 2020 г.

It was educative i really learn a lot about data augmentation

автор: Grace J

3 мая 2020 г.

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

автор: Dr. R K G

14 мая 2020 г.

This course transfer learning in a simple steps.

автор: Jahnavi M

3 авг. 2020 г.

Informative, Useful and Involving!!!!!

автор: Bindhu b T

21 апр. 2020 г.

In short period of time I learnt more.

автор: Deleted A

6 июня 2020 г.

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

автор: Sagar R

19 мая 2020 г.

I was very gradfully for this study

автор: Dipan S

4 авг. 2020 г.

A neat course . I am satisfied

автор: MUKIND S N

9 июня 2020 г.

I understand data argumentg

автор: Mayank S

9 мая 2020 г.

Thanks sir well taught.

автор: Anna S

9 мая 2020 г.

It was good experience