Pytorch TensorBoard Tutorial

Dive into an extensive tutorial on using TensorBoard with PyTorch, exploring key functionalities such as plotting loss functions, accuracy, hyperparameter search, image visualization, weight visualization, and the visual embedding projector. Learn to utilize essential PyTorch TensorBoard functions including add_scalar, add_image, add_histogram, add_embedding, and add_hparams. Follow along as the instructor guides you through initializing SummaryWriter, creating loss and accuracy plots, conducting hyperparameter searches, visualizing dataset images and network weights, and leveraging the TensorBoard Embedding Projector for advanced data analysis and model interpretation.

- Introduction
- Initializing SummaryWriter
- Creating a loss and accuracy plot
- Doing Hyperparameter search
- Visualizing Dataset Images and Network Weights
- Tensorboard Embedding Projector