How do I use sequences in Keras?

How do I use sequences in Keras?

You can use the Sequence class in Keras to create a custom data generator. This is useful for handling large datasets.

Can you show me a simple example of implementing a Sequence?

Sure! Here's a basic example:

from keras.utils import Sequence

class MySequence(Sequence):
    def __init__(self, data, labels, batch_size):
        self.data = data
        self.labels = labels
        self.batch_size = batch_size

    def __len__(self):
        return int(np.ceil(len(self.data) / self.batch_size))

    def __getitem__(self, idx):
        batch_data = self.data[idx * self.batch_size:(idx + 1) * self.batch_size]
        batch_labels = self.labels[idx * self.batch_size:(idx + 1) * self.batch_size]
        return batch_data, batch_labels

What are the advantages of using the Sequence class?

Using the Sequence class allows for better memory management, especially with large datasets, and supports multi-processing.

Can I use it with image data?

Absolutely! You can load images in the __getitem__ method and preprocess them as needed before returning.