How do I preprocess data in Keras for my neural network?
An example of an AI chatbot conversation about data preprocessing techniques in Keras.
How do I preprocess data in Keras for my neural network?
To preprocess data in Keras, you can use the ImageDataGenerator for image data or StandardScaler for numerical data.
Can you give me an example of using ImageDataGenerator?
Sure! You can create an instance like this: datagen = ImageDataGenerator(rescale=1./255) and then use it to flow data from a directory.
What about handling missing values in my dataset?
You can handle missing values by using techniques like imputation or by removing rows with missing data before training.
Is there a way to normalize my data in Keras?
Yes, you can use MinMaxScaler from sklearn.preprocessing to normalize your data before feeding it into your model.
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