针对tensorflow2.0的教材
可以参考这个官方教材,不知道之后还能不能访问
https://tensorflow.google.cn/tutorials/quickstart/beginner?hl=zh-cn
教材可以看这里:
https://tensorflow.google.cn/tutorials?hl=zh-cn
要花些时间抓紧学习了,加油!!
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)
Epoch 1/5 1875/1875 [==============================] - 3s 2ms/step - loss: 0.2962 - accuracy: 0.9155 Epoch 2/5 1875/1875 [==============================] - 3s 2ms/step - loss: 0.1420 - accuracy: 0.9581 Epoch 3/5 1875/1875 [==============================] - 3s 2ms/step - loss: 0.1064 - accuracy: 0.9672 Epoch 4/5 1875/1875 [==============================] - 3s 2ms/step - loss: 0.0885 - accuracy: 0.9730 Epoch 5/5 1875/1875 [==============================] - 3s 2ms/step - loss: 0.0749 - accuracy: 0.9765 313/313 - 0s - loss: 0.0748 - accuracy: 0.9778 [0.07484959065914154, 0.9778000116348267]