Visualizing computations through TensorBoard
TensorFlow includes functions that allow you to debug and optimize programs in a visualization tool called TensorBoard. With TensorBoard, you can graphically observe different types of statistics concerning the parameters and details of any part of the graph.
Moreover, while doing predictive modeling using a complex DNN, the graph can be complex and confusing. To make it easier to understand, debug, and optimize TensorFlow programs, you can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data, such as images that pass through it.
Therefore, TensorBoard can be thought of as a framework designed for analyzing and debugging ...
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