11 lines
333 B
Python
11 lines
333 B
Python
import tensorflow as tf
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matric1=tf.random.normal([1,5,5,1])
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input=tf.Variable(matric1)
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print('matric1',matric1)
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conv=tf.keras.layers.Conv2D(1,2,padding="SAME")(input)
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#上式等价于conv=tf.keras.layers.Conv2D(filters=1,kernel_size=2)(input)
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print('conv的大小：',conv.shape)
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#tf.keras.layers.Conv2D()
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tf.keras.layers.MaxPool2D |