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Hands-On TensorBoard for PyTorch Developers [Video]
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About this
video
TensorBoard is a visualization library for TensorFlow that plots training runs, tensors, and graphs. TensorBoard has been natively supported since the PyTorch 1.1 release. In this course, you will learn how to perform Machine Learning visualization in PyTorch via TensorBoard. This course is full of practical, hands-on examples. You will begin with a quick introduction to TensorBoard and how it is used to plot your PyTorch training models. You will learn how to write TensorBoard events and run TensorBoard with PyTorch to obtain visualizations of the training progress of a neural network. You will visualize scalar values, images, text and more, and save them as events. You will log events in PyTorch–for example, scalar, image, audio, histogram, text, embedding, and back-propagation.
By the end of the course, you will be confident enough to use TensorBoard visualizations in PyTorch for your real-world projects.
All relevant code files are placed on a GitHub repository at: https://github.com/PacktPublishing/Hands-On-TensorBoard-for-PyTorch-Developers
- Publication date:
- March 2020
- Publisher
- Packt
- Duration
- 2 hours 13 minutes
- ISBN
- 9781838983604
Download code from GitHub
Latest Reviews
(1 reviews total)
The code doesn't work. Pytorch, NVidia, or someone has upgraded their software and it is broken running with Windows 10. It is a known issue but as yet no solution for either Visual Studio 2017, VS2019 and VScode. I would like to see some discussion on the books github page but so far nothing.
1
![Hands-On TensorBoard for PyTorch Developers [Video]](https://content.packt.com/V15253/cover_image_small.png)