How To Train A Deep Learning Model With Many Data Sets Present Inside The Directories

Experts i need to train a model with many data sets saved in the directories train_data and valid_data. Each data in the corresponding directories are a numpy array having rows=456

Solution 1:

If it's npz Image-like, you can use ImageDataGenerator ImageDataGenerator. It supports both from_directory and from_dataframe.