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Good one. A question on TF: How TF scores over other DL tools in terms of functionality... I know it is designed for distributed run and has easy python APIs..but I am not able to find advantages of TF on functionality part.. what I can do on TF that I would not be able to do on Torch etc...

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This evaluation of deep-learning toolkits should be useful:

https://github.com/zer0n/deepframeworks

FYI, TF now supports: 1) dynamic RNNs, 2) bidirectional RNNs and will soon have 3D convolution -- that comparison is a little out of date.

One nice feature is that TensorFlow includes TensorBoard, a bundle of visualization tools (e.g. model visualizer and various charts). You can see an example here: https://www.tensorflow.org/tensorboard (try clicking around the tabs on the top).

(Disclaimer: I work on TensorBoard)

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