Using non-square input matrix for convolutional autoencoder2019 Community Moderator ElectionConvolutional autoencoder not learning meaningful filterskeras autoencoder resource exhausted errorTraining Convolutional Autoencoder with KerasLoss is not decreasing for convolutional autoencoderKeras weight sharing and transposing the weight matrixValueError when training Autoencoder in Keras for unsupervised learningWhere to use dilated convolution in autoencoder for temporal data?How does MATLAB AutoEncoder scale data?Convolutional Autoencoder symmetrie model stacking
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Using non-square input matrix for convolutional autoencoder
2019 Community Moderator ElectionConvolutional autoencoder not learning meaningful filterskeras autoencoder resource exhausted errorTraining Convolutional Autoencoder with KerasLoss is not decreasing for convolutional autoencoderKeras weight sharing and transposing the weight matrixValueError when training Autoencoder in Keras for unsupervised learningWhere to use dilated convolution in autoencoder for temporal data?How does MATLAB AutoEncoder scale data?Convolutional Autoencoder symmetrie model stacking
Is it possible to train convolutional autoencoder (CAE) with non-square (rectangular) input matrix? All the tutorials and resources I have studied on CAE seems to use squared images. The data I am working with is not image. I have hundreds of single cells and for each cell there is a matrix (genomic data) with thousands of genes in rows and hundreds of bins in columns (genomic region of interest for each gene divided into the bins of equal size).
I have tried some models with Keras, but size of input in the encoder part of the model is always different than the size of output matrix in the decoder. So it is giving error. Can someone help me how to solve this problem?
python keras deep-learning conv-neural-network autoencoder
asked Mar 6 at 20:47
BahtiBahti
12
add a comment |
Is it possible to train convolutional autoencoder (CAE) with non-square (rectangular) input matrix? All the tutorials and resources I have studied on CAE seems to use squared images. The data I am working with is not image. I have hundreds of single cells and for each cell there is a matrix (genomic data) with thousands of genes in rows and hundreds of bins in columns (genomic region of interest for each gene divided into the bins of equal size).
I have tried some models with Keras, but size of input in the encoder part of the model is always different than the size of output matrix in the decoder. So it is giving error. Can someone help me how to solve this problem?
python keras deep-learning conv-neural-network autoencoder
asked Mar 6 at 20:47
BahtiBahti
12
add a comment |
Is it possible to train convolutional autoencoder (CAE) with non-square (rectangular) input matrix? All the tutorials and resources I have studied on CAE seems to use squared images. The data I am working with is not image. I have hundreds of single cells and for each cell there is a matrix (genomic data) with thousands of genes in rows and hundreds of bins in columns (genomic region of interest for each gene divided into the bins of equal size).
I have tried some models with Keras, but size of input in the encoder part of the model is always different than the size of output matrix in the decoder. So it is giving error. Can someone help me how to solve this problem?
python keras deep-learning conv-neural-network autoencoder
asked Mar 6 at 20:47
BahtiBahti
12
Is it possible to train convolutional autoencoder (CAE) with non-square (rectangular) input matrix? All the tutorials and resources I have studied on CAE seems to use squared images. The data I am working with is not image. I have hundreds of single cells and for each cell there is a matrix (genomic data) with thousands of genes in rows and hundreds of bins in columns (genomic region of interest for each gene divided into the bins of equal size).
I have tried some models with Keras, but size of input in the encoder part of the model is always different than the size of output matrix in the decoder. So it is giving error. Can someone help me how to solve this problem?
python keras deep-learning conv-neural-network autoencoder
python keras deep-learning conv-neural-network autoencoder
asked Mar 6 at 20:47
BahtiBahti
12
asked Mar 6 at 20:47
BahtiBahti
12
edited Mar 6 at 20:52
Bahti
asked Mar 6 at 20:47
BahtiBahti
12
asked Mar 6 at 20:47
BahtiBahti
12
asked Mar 6 at 20:47
BahtiBahti
12
12
add a comment |
add a comment |
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