YouTipTensorFlow Basics
import tensorflow as tf
model = tf.keras.Sequential([
tf.keras.layers.Dense(128, activation="relu"),
tf.keras.layers.Dense(10, activation="softmax")
])
model.compile(optimizer="adam", loss="sparse_categorical_crossentropy")Training
(x_train, y_train), _ = tf.keras.datasets.mnist.load_data()
x_train = x_train.reshape(-1, 784) / 255.0
model.fit(x_train, y_train, epochs=5)Summary
- Sequential API stacks layers
- model.fit() trains the model