<p>Given the model:</p>
<pre><code>Sequence([
GRU(200, input_shape=(None,100), return_sequences=False)
])
</code></pre>
<p>Which maps the space <code>(None, 100) -&gt; (200,)</code></p>
<p>Is there an <code>InverseGRU</code> such that it maps the space <code>(200,) -&gt; (None, 100)</code></p>
<p>or, at least, is it possible to simulate this behaviour?</p>

CC BY-SA 4.0
2021-04-11T01:48:32.873Z
This seems to be somehow a duplicate of this: https://ai.stackexchange.com/q/27246/2444.
nbro
CC BY-SA 4.0
2021-04-11T02:05:10.360Z
@nbro its part of the same problem, but tackling a different aspect. That question is more general, this question is about whether this specific type of layer exists - and where its even possible to implement
Tobi Akinyemi
<tensorflow><keras><recurrent-neural-networks>
Are there any inverse RNN layers?
Tobi Akinyemi
# Are there any inverse RNN layers?

(Asked by: username_0 on 2021-04-10)

Given the model:
Sequence([
GRU(200, input_shape=(None,100), return_sequences=False)
])

Which maps the space (None, 100) -> (200,)
Is there an InverseGRU such that it maps the space (200,) -> (None, 100)
or, at least, is it possible to simulate this behaviour?

**Tags:** tensorflow, keras, recurrent-neural-networks

> **Comments:**
> **username_1**: This seems to be somehow a duplicate of this: https://ai.stackexchange.com/q/27246/2444.  
> **username_0**: @username_1 its part of the same problem, but tackling a different aspect. That question is more general, this question is about whether this specific type of layer exists - and where its even possible to implement  

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## 0 answers

