TensorBoard is one such tool. Originally intended for the TensorFlow library (including Keras models), it's a web application which reads log files from a directory and displays a variety of charts ...

PyTorch TensorBoard Experiment: MNIST CNN Training This project demonstrates how to integrate TensorBoard with PyTorch to visualize the training process of a simple convolutional neural network (CNN) ...

As Spisak told me, one of the most important new features in PyTorch 1.1 is support for TensorBoard, Google’s visualization tool for TensorFlow that helps developers evaluate and inspect models.

"TensorBoard is a data science companion dashboard that helps PyTorch and TensorFlow developers visualize their dataset and model training," said Jeffrey Lew of the VS Code Python team in announcing ...

But why should you choose to use PyTorch instead of other frameworks like MXNet, Chainer, or TensorFlow? Let’s look into five reasons that add up to a strong case for PyTorch.