- Before TensorFlow 2 Integration: When Keras was used as a standalone library before its integration into TensorFlow, deploying models to production was more challenging. Although this has been improved with Keras’ inclusion in TensorFlow, standalone Keras may still have limitations in terms of deployment tools and pipelines compared to frameworks like TensorFlow and PyTorch.
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