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Hands On TensorBoard for PyTorch Developers

Track :

Programming

Lessons no : 5

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What will you learn in this course?
  • Visualize neural network training metrics using TensorBoard in PyTorch for improved model debugging and analysis
  • Implement real-time training visualization with TensorBoard to monitor model performance and loss functions in PyTorch
  • Utilize TensorBoard to track model accuracy, loss, and hyperparameters during PyTorch deep learning experiments
  • Apply TensorBoard features to optimize neural network training workflows and enhance model interpretability in PyTorch

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Lessons | 5


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PyTorch integrates with TensorBoard, a tool designed for visualizing the results of neural network training runs. This tutorial illustrates some of its functionality, using the Fashion-MNIST dataset which can be read into PyTorch using torchvision. datasets .