GridRNN in tensorflow

GridRNN in tensorflow

Vu Pham

Vu Pham

Berlin, Berlin

Implementation of GridRNN in tensorflow and examples

Artificial Intelligence

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Description

he GridRNN implementation in tensorflow is generic, in the sense that it supports multiple dimensions with various settings for input/output dimensions, priority dimensions and non-recurrent dimensions. The type of recurrent cell can also be selected among LSTM, GRU or vanilla RNN.

Here we collect some examples that demonstrate GridRNN, which will be added over time. The current list of examples include:

  • char-rnn: 2GridLSTM for character-level language modeling.

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Implementation in tensorflow

Examples

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Vu P. added photos to project GridRNN in tensorflow

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GridRNN in tensorflow

he GridRNN implementation in tensorflow is generic, in the sense that it supports multiple dimensions with various settings for input/output dimensions, priority dimensions and non-recurrent dimensions. The type of recurrent cell can also be selected among LSTM, GRU or vanilla RNN.

Here we collect some examples that demonstrate GridRNN, which will be added over time. The current list of examples include:

- char-rnn: 2GridLSTM for character-level language modeling.

Medium vupham

Vu P. created project GridRNN in tensorflow

Medium cdaf6c53 a59a 47c7 8708 db3f279c55e7

GridRNN in tensorflow

he GridRNN implementation in tensorflow is generic, in the sense that it supports multiple dimensions with various settings for input/output dimensions, priority dimensions and non-recurrent dimensions. The type of recurrent cell can also be selected among LSTM, GRU or vanilla RNN.

Here we collect some examples that demonstrate GridRNN, which will be added over time. The current list of examples include:

  • char-rnn: 2GridLSTM for character-level language modeling.

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