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Answer Posted / Durgesh Jayant
Some limitations of TensorFlow include: (1) Resource-intensive during training due to its reliance on GPU computing; (2) Steep learning curve for beginners due to the need to understand complex concepts like computational graphs, sessions, and tensors; (3) Limited support for certain hardware platforms; (4) Memory consumption can be high when dealing with large datasets; (5) Limited flexibility in handling unstructured data formats.
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