Public Activity

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:)

hi

const x = 1;
const y = x + 1;
const x = 1;
const y = x + 1;

nb n knmn mknmn

import tensorflow as tf import numpy as np

celsius_q = np.array([-40, -10, 0, 8, 15, 22, 38], dtype=float) fahrenheit_a = np.array([-40, 14, 32, 46, 59, 72, 100], dtype=float)

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(0.1)) history = model.fit(celsius_q, fahrenheit_a, epochs=500, verbose=False)

print(model.predict([100.0]))

fff

f

https://distbin.com/activities/d2fad447-78cf-4e82-9046-27e8bacc80cc

https://distbin.com/activities/cb521fff-d17d-4282-923d-43173451e9ea

https://distbin.com/activities/c7c8d4cb-b76b-46c7-ab2b-ff55372a147c

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