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src/py3.x/tensorflow2.x/quickstart.py
31 строка
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jiangzhonglian
修改中文符号为英文
18 май 2020, 17:12
18 май 2020, 17:12
294b3c2
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#%% # -*- coding: utf-8 -*- from __future__ import absolute_import, division, print_function, unicode_literals import tensorflow as tf #%% # 载入并准备好 MNIST 数据集 # 存放地址: /home/xxx/.keras/datasets/mnist.npz 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 #%% # 将模型的各层堆叠起来，以搭建 tf.keras.Sequential 模型。为训练选择优化器和损失函数: 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']) #%% # 训练模型 model.fit(x_train, y_train, epochs=5) # 验证模型 model.evaluate(x_test, y_test, verbose=2)