最近,我开始使用Tensorflow + Keras创建神经网络,我想尝试Tensorflow中提供的量化功能.到目前为止,尝试TF教程的示例工作得很好,我有这个基本的工作示例(来自https://www.tensorflow.org/tutorials/keras/basic_classification):
import tensorflow as tf
from tensorflow import keras
fashion_mnist = keras.datasets.fashion_mnist
(train_images, train_labels), (test_images, test_labels) = fashion_mnist.load_data()
# fashion mnist data labels (indexes related to their respective labelling in the data set)
class_names = ['T-shirt/top', 'Trouser', 'Pullover', 'Dress', 'Coat', 'Sandal', 'Shirt', 'Sneaker', 'Bag', 'Ankle boot']
# preprocess the train and test images
train_images = train_images / 255.0
test_images = test_images / 255.0
# settings variables
input_shape = (train_images.shape[1], train_images.shape[2])
# create the model layers
model …