Hands-On Machine Learning for Algorithmic Trading

How to use TensorBoard

TensorBoard is a great visualization tool that comes with TensorFlow. It includes a suite of visualization tools to simplify the understanding, debugging, and optimization of neural networks.

You can use it to visualize the computational graph, plot various execution and performance metrics, and even visualize image data processed by the network. It also permits comparisons of different training runs.

When you run the how_to_use_keras notebook with TensorFlow installed, you can launch TensorBoard from the command line, as follows:

tensorboard --logdir=/full_path_to_your_logs ## e.g. ./tensorboard

For starters, the visualizations include train and validation metrics (see the left panel of the following diagram).

In addition, ...