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创建 3D 卷积层

[英]Creating 3D Convolutional Layer

原文 2022-12-26 11:00:29 8 1 machine-learning/ deep-learning/ computer-vision/ conv-neural-network

ValueError: One of the dimensions in the output is <= 0 due to downsampling in conv3d_15. ValueError：由于 conv3d_15 中的下采样，output 中的一个维度 <= 0。 Consider increasing the input size.考虑增加输入大小。 Received input shape [None, 1, 1, 1, 1904211] which would produce output shape with a zero or negative value in a dimension.接收到的输入形状 [None, 1, 1, 1, 1904211] 将产生 output 形状，维度中的值为零或负值。

Can anyone explain me what is the meaning of this error谁能解释一下这个错误是什么意思

While i am trying to build my 3d convolutional neural.network.当我尝试构建我的 3d 卷积神经网络时。 I got this erro我得到了这个错误

1 个解决方案

A 3D convolution layer expect the input to be in a shape similar to (4, 28, 28, 28, 1). 3D 卷积层期望输入的形状类似于 (4, 28, 28, 28, 1)。 For 28x28x28 volumes with a single channel.适用于具有单通道的 28x28x28 体积。 More info here - https://www.tensorflow.org/api_docs/python/tf/keras/layers/Conv3D更多信息在这里 - https://www.tensorflow.org/api_docs/python/tf/keras/layers/Conv3D

使用卷积自动编码器从2D到3D - From 2D to 3D using convolutional autoencoder

使用keras卷积1D层时的负尺寸误差 - Negative dimension error while using keras Convolutional1D Layer

input_shape在keras中的2D卷积层 - input_shape 2D Convolutional layer in keras

隐藏 3d 卷积网络层的形状，如何计算？ - Shapes of hidden 3d convolutional network layers, how to compute it?

手工制作的3D卷积神经网络的形状误差 - Shape error with manually made 3D convolutional neural network

对卷积神经网络 3D 或多光谱图像中 2D、3D 卷积的理解混淆 - Confusion in understanding of 2D, 3D Convolutions in Convolutional Neural Networks 3D or multi-spectral images

Keras：在这种情况下我应该使用一维还是二维卷积层？ - Keras: Should I use an 1D or a 2D convolutional layer in this case?

是否可以在 Keras 中生成二维卷积层的一维 output？ - Is it possible to generate an 1D dimensional output of a 2D convolutional layer in Keras?

3D CNN（卷积神经网络）中的“min_ndim 和预期的 ndim 不兼容”是什么？ - What is “incompatibility of min_ndim and expected ndim” in 3D CNN(Convolutional NN)?

无法将数据拟合到3d卷积U-net Keras - Can't fit data to 3d convolutional U-net Keras

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相关问题 使用卷积自动编码器从2D到3D - From 2D to 3D using convolutional autoencoder 使用keras卷积1D层时的负尺寸误差 - Negative dimension error while using keras Convolutional1D Layer input_shape在keras中的2D卷积层 - input_shape 2D Convolutional layer in keras 隐藏 3d 卷积网络层的形状，如何计算？ - Shapes of hidden 3d convolutional network layers, how to compute it? 手工制作的3D卷积神经网络的形状误差 - Shape error with manually made 3D convolutional neural network 对卷积神经网络 3D 或多光谱图像中 2D、3D 卷积的理解混淆 - Confusion in understanding of 2D, 3D Convolutions in Convolutional Neural Networks 3D or multi-spectral images Keras：在这种情况下我应该使用一维还是二维卷积层？ - Keras: Should I use an 1D or a 2D convolutional layer in this case? 是否可以在 Keras 中生成二维卷积层的一维 output？ - Is it possible to generate an 1D dimensional output of a 2D convolutional layer in Keras? 3D CNN（卷积神经网络）中的“min_ndim 和预期的 ndim 不兼容”是什么？ - What is “incompatibility of min_ndim and expected ndim” in 3D CNN(Convolutional NN)? 无法将数据拟合到3d卷积U-net Keras - Can't fit data to 3d convolutional U-net Keras

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