What is the difference between Keras and PyTorch?

The question is about Keras

Answer:

The primary difference between Keras and PyTorch lies in their design philosophies and use cases. Keras emphasizes simplicity and ease of use with its high-level API, making it perfect for beginners and rapid prototyping. PyTorch, with its dynamic computation graph, offers greater flexibility and control, making it the preferred choice for research and experimentation. PyTorch requires more coding effort but allows for custom implementations, while Keras abstracts much of the complexity, enabling faster development cycles.

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