Hands-On TensorBoard for PyTorch Developers
Build better PyTorch models with TensorBoard visualization
4.14 (11 reviews)
73
students
2 hours
content
Apr 2020
last update
$44.99
regular price
What you will learn
Demonstrate TensorBoard visualizations with PyTorch models, including training curves, data distributions, data histograms, model graphs, and text embeddings
Log multiple parameters and events in PyTorch and easily use them for TensorBoard visualizations
Visualize numerous data types including scalar, vector, text, image, and audio data
View data and text embeddings in 2D and 3D
Use TensorBoard to detect errors and fix models with hands-on examples in Machine Learning, image classification, and NLP
Track and optimize hyperparameter tuning so you can display model configurations and measure performance to compare multiple models and reproduce experiments
Log events from PyTorch with a few lines of code
Screenshots
Related Topics
2948236
udemy ID
4/2/2020
course created date
4/8/2020
course indexed date
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