How can I preprocess data using Keras?

How can I preprocess data using Keras?

You can preprocess data in Keras using the ImageDataGenerator for images or StandardScaler for numerical data. What type of data are you working with?

I'm working with image data. Can you give me an example?

Sure! You can use ImageDataGenerator to augment your image data. For example:

from keras.preprocessing.image import ImageDataGenerator

generator = ImageDataGenerator(
    rotation_range=40,
    width_shift_range=0.2,
    height_shift_range=0.2,
    shear_range=0.2,
    zoom_range=0.2,
    horizontal_flip=True,
    fill_mode='nearest'
)

This will help improve your model's performance by creating variations of your images.

What if I have text data instead?

For text data, you can use the Tokenizer class to convert text to sequences and then pad them. Here's a quick example:

from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences

texts = ['I love Keras', 'Keras is great for deep learning']

tokenizer = Tokenizer()
tokenizer.fit_on_texts(texts)
sequences = tokenizer.texts_to_sequences(texts)

padded_sequences = pad_sequences(sequences)