Fix model.predict input type in l02c01_celsius_to_fahrenheit.ipynb #515
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Fixed incorrect usage of model.predict([100.0]) in the Celsius-to-Fahrenheit example.
The original code used a plain Python list, which raises a ValueError because TensorFlow expects a NumPy array or tensor with explicit shape. Replaced it with:
model.predict(np.array([100.0]))
This helps prevent confusion for beginners following the tutorial and ensures the example runs without error.
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In addition to the original fix, I found other lines in the same notebook where model.predict([100.0]) was incorrectly used. Passing a plain Python list causes a ValueError because TensorFlow expects inputs with explicit shape. Changes made: - Replaced all instances of model.predict([100.0]) with model.predict(np.array([100.0])) Ensured the formatted print example also uses the correct input format. These changes help prevent runtime errors and confusion for beginners following the tutorial.
MarkDaoust
approved these changes
Jul 31, 2025
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Fixed incorrect usage of model.predict([100.0]) in the Celsius-to-Fahrenheit example.
The original code used a plain Python list, which raises a ValueError because TensorFlow expects a NumPy array or tensor with explicit shape. Replaced it with:
This helps prevent confusion for beginners following the tutorial and ensures the example runs without error.