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An in-depth guide to tensorboard with examples in plotting loss functions, accuracy, hyperparameter search, image visualization, weight visualization as well as tensorboards visual embedding or projector.
The functions we look at from Pytorchs tensorboard are add_scalar, add_image, add_histogram, add_embedding and add_hparams.
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OUTLINE:
0:00 - Introduction
2:08 - Initializing SummaryWriter
2:55 - Creating a loss and accuracy plot
5:40 - Doing Hyperparameter search
16:36 - Visualizing Dataset Images and Network Weights
20:55 - Tensorboard Embedding Projector