Applied Deep Learning with Python

Activity:Creating an Active Training Environment

In this activity, we create a training environment for our neural network that facilitates both its training and evaluation. This environment is particularly important to our next chapter, in which we search for an optimal combination of hyperparameters. F

First, we will start both a Jupyter Notebook instance and a TensorBoard instance. Both of these instances can remain open for the remainder of this activity.

1. Using your terminal, navigate to the directory chapter_6/activity_6 and execute the following code to start a Jupyter Notebook instance:

      $ jupyter notebook

2. Open the URL provided by the application in your browser and open the Jupyter Notebook named  Activity_6_Creating_an_active_training_environment. ...