使用Google Colab在Tensorboard中显示褪色/米色图像

import tensorflow as tf
from tensorflow.keras.callbacks import TensorBoard

# 加载图像数据集，例如MNIST
(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()

# 将图像数据归一化到0-1之间
x_train = x_train / 255.0
x_test = 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.Dense(10, activation='softmax')
])

model.compile(optimizer='adam',
              loss='sparse_categorical_crossentropy',
              metrics=['accuracy'])

# 设置Tensorboard回调函数
tensorboard_callback = TensorBoard(log_dir='./logs')

model.fit(x_train, y_train, epochs=10, validation_data=(x_test, y_test), callbacks=[tensorboard_callback])

%load_ext tensorboard
%tensorboard --logdir=./logs