import tensorflow as tf
model = tf.keras.Sequential([
tf.keras.layers.Dense(64, activation='relu'),
tf.keras.layers.Dense(1)
])
model.compile(optimizer='adam', loss='mse')
model.fit(X_train, y_train, epochs=10)TensorFlow Overview
Google's open-source library for building and training machine learning models, especially deep neural networks, at production scale.