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Tensorboard is really powerful in tracking the training process. Currently, does tensorlayer support summaries?
E.g. with the netwrok stacked by several tensorlayers , I want to use histogram_summary to view the last layer's activation and use scalar_summary to record the sparsity rate of last layer's activation by tf.nn.zero_fraction.
I tried the following code in a wish to achieve the above purpose, but failed.
tf.histogram_summary(tensor_name + '_activations', network.output) tf.scalar_summary(tensor_name + '_sparsity', tf.nn.zero_fraction(network.output))
If there is any way to track the summaries with tensorlayer, please notify me. And if there is none, could you add this support in tensorlayer?