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Tensor Shape 'Reshape' during the dataflow


How to use Embedding() with 3D tensor in Keras?How to scale data for LSTM autoencoder?two autoencdoers learned by two similar vectors (each one with its own). Similarity of hidden layer vectors will be the same?What loss function should I use for auto encoders for textCombining normalized and non-normalized data in Neural NetworksHow design a autoencoder architectureInput shape for simpler time series in LSTM+CNNConnect a dense layer to a LSTM architectureLSTM Autoencoder on Patterns of LabelsHow to reshape data for LSTM training in multivariate sequence prediction













1












$begingroup$


I would like to combine an Autoencoder with a LSTM. However, the 'timestep' is a block for the implements and I would like to train them together. Is there a solution to the tensor 'reshape'? I mean, it's not the simple 'Reshape' but for using timestep data.










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New contributor




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$endgroup$
















    1












    $begingroup$


    I would like to combine an Autoencoder with a LSTM. However, the 'timestep' is a block for the implements and I would like to train them together. Is there a solution to the tensor 'reshape'? I mean, it's not the simple 'Reshape' but for using timestep data.










    share|improve this question









    New contributor




    Jie Wang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$














      1












      1








      1





      $begingroup$


      I would like to combine an Autoencoder with a LSTM. However, the 'timestep' is a block for the implements and I would like to train them together. Is there a solution to the tensor 'reshape'? I mean, it's not the simple 'Reshape' but for using timestep data.










      share|improve this question









      New contributor




      Jie Wang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I would like to combine an Autoencoder with a LSTM. However, the 'timestep' is a block for the implements and I would like to train them together. Is there a solution to the tensor 'reshape'? I mean, it's not the simple 'Reshape' but for using timestep data.







      lstm autoencoder reshape






      share|improve this question









      New contributor




      Jie Wang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question









      New contributor




      Jie Wang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




      share|improve this question








      edited Mar 17 at 5:36









      Ethan

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      579222






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      asked Mar 17 at 3:44









      Jie WangJie Wang

      61




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      New contributor





      Jie Wang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






      Jie Wang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.




















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