Ganster4401

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import tensorflow as tf
import numpy as np
celsius = np.array([-40, -10, 0, 8, 15, 22, 38], dtype=float)
fahrenheit = np.array([-40, 14, 32, 46.4, 59, 71.6, 100.4], dtype=float)
layer = tf.keras.layers.Dense(units=1, input_shape=[1])
model = tf.keras.Sequential([layer])
model.compile(
    optimizer=tf.keras.optimizers.Adam(0.1),
    loss='mean_squared_error'
)
print("Starting training...")
history = model.fit(celsius, fahrenheit, epochs=1000, verbose=False)
print("Model trained")
print("Let's make a prediction!")
input_value = 100.0
result = model.predict([input_value])
print("The result of converting " + str(input_value) + " Celsius to Fahrenheit is: " + str(result))