For a researcher, it is a key thing to iterate over his ideas as quickly as possible. For that, he should choose a programming framework that is open-source, allows for easy and fast prototyping (user-friendliness) and supports easy extensibility. One such programming framework is Keras. Keras is a high-level neural networks API, written in Python. So, this series contains all the Keras functionality explained in detail with the help of examples.
Contents
1. ImageDataGenerator Class
- Data Augmentation with Keras ImageDataGenerator
- flow() method
- flow_from_directory() method
- flow_from_dataframe() method
- fit() method
- get_random_transform() method
- apply_transform() method
- standardize() method
- random_transform() method
- Normalization during prediction time