Chevron Left
Volver a Image Data Augmentation with Keras

Opiniones y comentarios de aprendices correspondientes a Image Data Augmentation with Keras por parte de Coursera Project Network

4.6
estrellas
443 calificaciones
70 reseña

Acerca del Curso

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....

Principales reseñas

AQ
22 de nov. de 2021

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 de abr. de 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.

Filtrar por:

26 - 50 de 70 revisiones para Image Data Augmentation with Keras

por Pratham A

3 de may. de 2020

compact and precise

por Gangone R

17 de jun. de 2020

very useful course

por chaitanya d

5 de may. de 2020

Its very helpfull

por Cindy P S A

4 de jul. de 2020

Excellent !!!

por Anantha N

7 de jun. de 2020

NICE COURSE

por GUNNAM V J R

2 de jul. de 2020

very good.

por XAVIER S M

31 de may. de 2020

thank you

por Kamlesh C

26 de jun. de 2020

Thanks

por Abhinav T

8 de may. de 2020

superb

por Pravendra S

29 de jun. de 2020

nice"

por shraddha p

13 de nov. de 2020

good

por SAADURYA K V S

7 de jul. de 2020

nice

por Vajinepalli s s

17 de jun. de 2020

nice

por Mona A A

11 de jun. de 2020

GOOD

por Harsh B

9 de jun. de 2020

good

por Rifat R

8 de jun. de 2020

Nice

por 187Y1A0469

28 de may. de 2020

Good

por Asraf J T

5 de jul. de 2020

4.6

por PONDARA K

1 de jun. de 2020

5

por S’ne M

15 de jul. de 2020

REALLY REALLY ENJOYED THIS ONE. I would have given it 6/5 stars but I had an issue with the Virtual Desktop not functioning from Task 9 ended up writing code on paper! Nonetheless great instructor!

por Abdullah A S

29 de may. de 2020

Excellent Basic course. For me, it's a little short because I love to understand the stuff under the hood. However, for beginners, it is a great start.

por Subangkar K S

18 de may. de 2020

Course Demonstration was very good considering the scope.

But very much disappointed with Rhyme. The cloud editing was continuously lagging extremely.

por Mohammad J S

5 de ago. de 2020

This course provided a solid understanding of data augmentation for images and how to implement it using Keras!

por Murtuza B

24 de jun. de 2020

I enjoyed the course and learned few things! Thank you for sharing the insights and for your time!

por Madhura P

7 de jun. de 2020

I understood data augmenatation and actually it works. Great start for image data augmentation!