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When to use Keras?
Rapid Prototyping
Keras is suitable for fast model creation.
It simplifies neural network design.
Ideal for quick experiments.
Beginner-Friendly AI
It offers a high-level API.
Keras is easy to learn.
Common for new ML practitioners.
Neural Network Design
Keras supports multiple model types.
It abstracts low-level complexity.
Useful for standard models.
Educational Projects
Keras is widely used in education.
It helps explain deep learning concepts.
Common in training programs.
Small to Mid-Scale AI
Keras works well for smaller AI projects.
It supports efficient development.
Used in prototypes.
Research to Production
Keras models can scale to production.
It integrates with TensorFlow.
Useful for growing AI products.
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