3 ms·
Code blocks don't work on HN; you need to format all your code with spaces: celsius_q = np.array([-40, -10, 0, 8, 15, 22, 38], dtype=float) fahrenheit_
by tylerhou 8y ago
Code blocks don't work on HN; you need to format all your code with spaces:
celsius_q = np.array([-40, -10, 0, 8, 15, 22, 38], dtype=float)
fahrenheit_a = np.array([x * 1.8 + 32 for x in celsius_q], dtype=float)
for i, c in enumerate(celsius_q):
print("{} degrees Celsius = {} degrees Fahrenheit".format(c, fahrenheit_a[i]))
l0 = tf.keras.layers.Dense(units=1, input_shape=[1])
model = tf.keras.Sequential([l0])
model.compile(loss='mean_squared_error', optimizer=tf.keras.optimizers.Adam(lr=1.0))
history = model.fit(celsius_q, fahrenheit_a, epochs=500, verbose=False)
print("Finished training the model")
print(model.predict([100.0]))