10. Custom TensorFlow Components

Activity 10.01: Building a Model with Custom Layers and a Custom Loss Function

Solution:

To get started, open a new Colab or Jupyter Notebook. If you are using Google Colab, you will need to download the dataset into your Google Drive first:

1. Open a new Jupyter notebook or Google Colab notebook.
2. If you are using Google Colab, you can upload your dataset locally with the following code. Otherwise, go to step 4. Click on Choose Files to navigate to the CSV file and click Open. Save the file as uploaded. Then, go to the folder where you saved the dataset:

   from google.colab import files
   uploaded = files.upload()

3. Unzip the dataset in the current folder:

   !unzip \*.zip

4. Create a variable, directory, that contains the path to the dataset:

   directory = "/content/gdrive/My Drive/Datasets/pneumonia-or-healthy/"

5. Import all the required libraries:

   import numpy as np
   import pandas as pd
   import pathlib...