30 lines
1.0 KiB
Python
30 lines
1.0 KiB
Python
import pandas as pd
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# TODO: Set weight1, weight2, and bias
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weight1 = 0
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weight2 = -1
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bias = 0.5
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# DON'T CHANGE ANYTHING BELOW
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# Inputs and outputs
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test_inputs = [(0, 0), (0, 1), (1, 0), (1, 1)]
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correct_outputs = [True, False, True, False]
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outputs = []
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# Generate and check output
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for test_input, correct_output in zip(test_inputs, correct_outputs):
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linear_combination = weight1 * test_input[0] + weight2 * test_input[1] + bias
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output = int(linear_combination >= 0)
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is_correct_string = 'Yes' if output == correct_output else 'No'
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outputs.append([test_input[0], test_input[1], linear_combination, output, is_correct_string])
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# Print output
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num_wrong = len([output[4] for output in outputs if output[4] == 'No'])
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output_frame = pd.DataFrame(outputs, columns=['Input 1', ' Input 2', ' Linear Combination', ' Activation Output', ' Is Correct'])
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if not num_wrong:
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print('Nice! You got it all correct.\n')
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else:
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print('You got {} wrong. Keep trying!\n'.format(num_wrong))
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print(output_frame.to_string(index=False))
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