TensorFlowのチュートリアルを試した。
以下コード
import tensorflow as tf
mnist = tf.keras.datasets.mnist
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0
model = tf.keras.models.Sequential([
tf.keras.layers.Flatten(input_shape=(28, 28)),
tf.keras.layers.Dense(128, activation='relu'),
tf.keras.layers.Dropout(0.2),
tf.keras.layers.Dense(10, activation='softmax')
])
model.compile(optimizer='adam',
loss='sparse_categorical_crossentropy',
metrics=['accuracy'])
model.fit(x_train, y_train, epochs=5)
model.evaluate(x_test, y_test, verbose=2)
結果
Epoch 1/5
1875/1875 [==============================] - 5s 3ms/step - loss: 0.2975 - accuracy: 0.9138
Epoch 2/5
1875/1875 [==============================] - 4s 2ms/step - loss: 0.1415 - accuracy: 0.9579
Epoch 3/5
1875/1875 [==============================] - 4s 2ms/step - loss: 0.1044 - accuracy: 0.9690
Epoch 4/5
1875/1875 [==============================] - 4s 2ms/step - loss: 0.0877 - accuracy: 0.9729
Epoch 5/5
1875/1875 [==============================] - 4s 2ms/step - loss: 0.0734 - accuracy: 0.9769
313/313 - 1s - loss: 0.0797 - accuracy: 0.9743 - 627ms/epoch - 2ms/step
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