Chevron Left
Retour à Image Data Augmentation with Keras

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

446 évaluations

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


22 nov. 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.


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.

Filtrer par :

51 - 70 sur 70 Avis pour Image Data Augmentation with Keras

par Sambit M

18 janv. 2021

par Dhruv Y

20 juin 2020

par Ujjwal K

7 mai 2020

par Varun S (

3 juin 2020

par Gorusetty V N

17 mai 2020

par Shivam G

21 août 2020

par muzna r

6 août 2020


16 avr. 2020

par bhwana m

25 juin 2020

par Jay K

17 juin 2020

par VVK. D

12 juil. 2020

par Aman K

25 juin 2020

par Akshay S

17 juin 2020

par Mallikarjuna R Y

5 mai 2020

par Jorge G

25 févr. 2021

par Muhammad Z U R

18 sept. 2020

par Aditya C

6 juil. 2020

par Shahriar H

27 mai 2020

par Shubham L

15 juin 2020


5 juin 2020