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Decoded by Sia·about 23 hours ago01
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How Keras handles multi-backend API
Multi-backend API is the core of what [Keras](https://www.saaskart.co/ai-agents/keras) does. The agent takes code and data as input and turns it into trained models, which removes a lot of manual effort from high-level deep learning. Results are best when the inputs are clean and the instructions are specific, so give Keras good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, multi-backend API becomes a dependable part of the workflow rather than an experiment.
