By Diego F B H•
This is an interesting topic, and the presentation gives us examples to perform a data augmentation 👌
By Priscila A B•
By Denizhan E•
Maybe more explanations about libraries and methods used during the project.
By Yaron K•
Pros : Shows how to do image augmentation on stand alone images and as part of a Keras Neural Network model.
Cons: The notebook can't be downloaded from Coursera Rhyme project , and is not included as part of the project resources. The lecturer instructs you to login to your google account if you want the notebook. Since I felt uncomfortable inputting my user+password into a 3rd party system (with all due respect to Coursera) - I chose to printscreen the parts I wanted to save for future reference.