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by eva1984
3500 days ago
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Exactly. Among those DL frameworks, I think what TensorFlow gets right the most is the tooling support. The metric collection/visualization/checkpointing is plug-and-play in TensorFlow, others not too much. For example, summary a.k.a metric collection is just a subgraph of the whole computational graph, which can be evaluated at any time. A simple and neat abstraction indeed. Those properties combined make TensorFlow the most engineer/practitioner friendly choice in the market. If AWS hopes to compete with TensorFlow in all seriousness, they need to catch up with support on those seeming trivial but important details. |
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