3. Real-World Deep Learning: Evaluating the Bitcoin Model

Activity 3.01: Optimizing a Deep Learning Model

Solution:

1. Using your Terminal, start a TensorBoard instance by executing the following command:

   $ cd ./Chapter03/Activity3.01/
   $ tensorboard --logdir=logs/

   You will see the SCALARS page once TensorBoard opens in the browser:

   Figure 3.20: Screenshot of a TensorBoard showing SCALARS page

2. Open the URL that appears on screen and leave that browser tab open as well. Also, start a Jupyter Notebook instance with the following command:

   $ jupyter-lab

   Here's the screenshot showing the Jupyter Notebook:

   Figure 3.21: Jupyter Notebook

   Open the URL that appears in a different browser window.

3. Now, open the Jupyter Notebook called Activity3.01_Optimizing_a_deep_learning_model.ipynb and navigate to the title of the Notebook. Run the cell to, import all the required libraries.
4. Set the seed to avoid randomness:

   np.random.seed(0)

   We will load the train and test data like we did...