What are custom data generators and how can they be used?
Custom data generators are tools that create synthetic data tailored to specific needs, useful for testing and training.
Can you give me an example of how they might be used in machine learning?
Sure! They can generate training datasets for models when real data is scarce or sensitive, ensuring privacy.
What types of data can these generators create?
They can create various types, including text, images, and numerical data, depending on the application.
Are there any popular libraries or tools for creating custom data generators?
Yes, libraries like Faker, Mockaroo, and TensorFlow's tf.data API are popular for generating custom datasets.
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