Pytorch TensorBoard Tutorial

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.

People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9

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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