- Static Graphs: Keras, particularly when using TensorFlow as a backend, primarily supports static computation graphs (also known as “Define-and-Run” models). This can be limiting for models that require dynamic computation graphs, where the structure of the graph changes during runtime. PyTorch, which uses dynamic graphs (“Define-by-Run”), is better suited for such models.
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