基於Keras搭建mnist數據集訓練識別的Pipeline

搭建模型 import tensorflow as tf from tensorflow import keras # get data (train_images, train_labels), (test_images, test_labels) = keras.datasets.mnist.load_data() # setup model model = keras.Sequentia

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