Mastering Computer Vision with TensorFlow 2.x

TensorBoard running on Google Colab

This section describes how to run TensorBoard on Google Colab. This involves the following steps:

1. In order to run TensorBoard on Google Colab, the TensorBoard page has to be accessed from your local PC. This is done through a service called ngrok, which links your local PC to TensorBoard. Ngrok is downloaded and extracted to your PC by using the following two lines of code:

!wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip!unzip ngrok-stable-linux-amd64.zip

2. Next, TensorBoard is opened using this code:

LOG_DIR = model_dirget_ipython().system_raw( 'tensorboard --logdir {} --host 0.0.0.0 --port 6006 & .format(LOG_DIR))

3. After this, ngrok is called to start TensorBoard using port ...