Programming, Artificial Intelligence, Machine Learning, Data Science, Python.
0.16, 0.04, 0.00, 0.00], # Alice [0.09, 0.21, 0.00, 0.00, 0.21, 0.49], # Bob [0.00, 0.00, 0.36, 0.24, 0.24, 0.16] # Charlie ]) # Define weights and biases for the FFN W1 = np.random.rand(6, 4) # First layer weights (6x4 matrix) b1 = np.random.rand(4) # First layer biases (4-dimensional vector) W2 =