How to Use TensorBoard in Python

You can use TensorBoard in Python by following these steps:

1. First, install TensorBoard. You can install TensorBoard using the following command:

pip install tensorboard

1. Importing the TensorBoard module in Python code:

from tensorboard import program

1. Create an instance of TensorBoard in the code and specify the path for the log files.

tb = program.TensorBoard()
tb.configure(argv=[None, '--logdir', '/path/to/log/directory'])

1. Start the TensorBoard server.

tb.main()

1. Run the following command in the terminal to start the TensorBoard server:

tensorboard --logdir=/path/to/log/directory

1. The address for the website is http://localhost:6006/

By following these steps, you can use TensorBoard in Python to visualize data and results from the training process.