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如何调用networks.sequence_conv_pool建立多个卷积池化层？ #8323

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christianahui opened this issue Feb 9, 2018 · 2 comments

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christianahui commented Feb 9, 2018

请问，在调用networks.sequence_conv_pool时如何建立多个卷积池化层？看networks.sequence_conv_pool的描述应该是把卷积层和池化层结合在一起（http://www.paddlepaddle.org/docs/develop/documentation/zh/api/v2/config/networks.html），我看大部分例子都是输入层后调用该函数，然后就是全连接层了。如果我想把networks.sequence_conv_pool的输出作为下个networks.sequence_conv_pool的输入，构造有多个卷积池化层的模型，这中间应该怎么处理一下？直接把上个networks.sequence_conv_pool的输出作为下一个的输入好像不对，请教各位，多谢！

https://github.com/PaddlePaddle/models/blob/develop/text_classification/network_conf.py

jacquesqiao added the User label

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jacquesqiao commented Feb 9, 2018

sequence_pool的output不是sequence了，所以不能作为sequence_conv的input

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jacquesqiao commented Feb 9, 2018

https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/trainer_config_helpers/networks.py#L40 请参考这个layer的实现，把之后的那个pooling layer去掉就是一个sequence_conv了

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narrowview mentioned this issue

如何调用networks.sequence_conv_pool建立多个卷积池化层 #22908

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