TensorBoard: Embedding Visualization

TensorBoard operates by reading TensorFlow events files, which contain summary data that you can generate when running TensorFlow. Here's the general lifecycle for summary data within TensorBoard. First, create the TensorFlow graph that you'd like to collect summary data from, and decide which nodes you would like to annotate with the tf.summary operations. For example, suppose you are training a

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“TensorBoard: Embedding Visualization”