Witryna19 cze 2024 · def next_batch (train_data, train_target, batch_size): index = [ i for i in range (0,len (train_target)) ] np.random.shuffle (index); batch_data = []; batch_target = []; for i in range (0,batch_size): batch_data.append (train_data [index [i]]); batch_target.append (train_target [index [i]]) return batch_data, batch_target 1 2 3 4 … Witryna13 gru 2024 · mnist.train.next_batch是专门用于由tensorflow提供的MNIST教程的函数。 它的工作原理是在开始时将训练图像和标签对随机化,并在每次调用该函数时选择每个随后的batch_size张图像。 一旦到达末尾,图像标签对将再次随机分配,并重复该过程。 仅在使用所有可用对后,才重新组合和重复整个数据集。 编辑于 2024-11-28 22:25 赞 …
tf.compat.v1.train.batch TensorFlow v2.12.0
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TensorFlow Next_batch + Examples - Python Guides
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