Monitoring and troubleshooting machine learning algorithms can be a daunting task, especially if you have to wait a long time for the training to complete before you know the results. To work around this, TensorFlow includes a computational graph visualization tool called TensorBoard. With TensorBoard, we can visualize and graph's important values (loss, accuracy, batch training time, and so on) even during training.
Visualizing graphs in TensorBoard
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