Login Register

tf.contrib.layers.summarize_activations()

tf.contrib.layers.summarize_activations(name_filter=None, summarizer=summarize_activation)

Summarize activations, using summarize_activation to summarize.

Links:

https://www.tensorflow.org/versions/master/api_docs/python/contrib.layers.html#summarize_activations

doc_TensorFlow

2016-10-14 13:05:24

Comments

Leave a Comment

Please login to continue.

Popular Articles

tf.contrib.layers.summarize_activation() tf.contrib.layers.summarize_activation(op) Summarize an activation. This applies the given activation and adds useful summaries specific to the acti

tf.contrib.layers.summarize_tensor() tf.contrib.layers.summarize_tensor(tensor, tag=None) Summarize a tensor using a suitable summary type. This function adds a summary op for tensor. T

tf.contrib.layers.summarize_collection() tf.contrib.layers.summarize_collection(collection, name_filter=None, summarizer=summarize_tensor) Summarize a graph collection of tensors, possibly

tf.contrib.layers.summarize_tensors() tf.contrib.layers.summarize_tensors(tensors, summarizer=summarize_tensor) Summarize a set of tensors.

tf.contrib.layers.repeat() tf.contrib.layers.repeat(inputs, repetitions, layer, *args, **kwargs) Applies the same layer with the same arguments repeatedly. y = repeat(x, 3, co