October 2017
Intermediate to advanced
330 pages
7h 7m
English
Content preview from Python Deep Learning Cookbook
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Visualizing training with TensorBoard and Keras
Analyzing training results (during or after training) is much more convenient if we can visualize the metrics. A great tool for this is TensorBoard. Originally developed for TensorFlow, it can also be used with other frameworks such as Keras and PyTorch. TensorBoard gives us the ability to follow loss, metrics, weights, outputs, and more. In the following recipe, we'll show you how to use TensorBoard with Keras and leverage it to visualize training data interactively.
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