3. Deep Learning with Keras

Activity 3.01: Building a Single-Layer Neural Network for Performing Binary Classification

In this activity, we will compare the results of a logistic regression model and single-layer neural networks of different node sizes and different activation functions. The dataset we will use represents the normalized test results of aircraft propeller inspections, while the class represents whether they passed or failed a manual visual inspection. We will create models to predict the results of the manual inspection when given the automated test results. Follow these steps to complete this activity:

1. Load all the required packages:

   # import required packages from Keras
   from keras.models import Sequential 
   from keras.layers import Dense, Activation 
   import numpy as np
   import pandas as pd
   from tensorflow import random
   from sklearn.model_selection import train_test_split
   # import required packages for plotting
   import matplotlib.pyplot as plt 
   import matplotlib...