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Very good project!
I'm really interested in your DDPG algorithm with LSTM. Is it based on the paper :
> Nicolas Heess & Jonathan Hunt et al,Memory-based control with recurrent neural networks?
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Can you give me some pointers on how to modify the code to use the final hidden state of the LSTM as an embedding/representation of a sequence of words?
What I want to achieve is to train the langu…
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Cudnn 5 now supports GRU and LSTM cells natively, with speedup's of up to 6 times compared to a Cublass implementation of GRU's and LSTMs. IT would be great if Cudarray could support this.
https://de…
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I tried running the [LSTM example](https://ml5js.org/docs/lstm-example) and it spits out an error: `Uncaught TypeError: ml5.LSTMGenerator is not a function at example-lstm.js:2`.
Looking at the …
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related paper
|摘要|
|---|
|The goal of precipitation nowcasting is to predict the future rainfall intensity in a local region over a relatively short period of time. Very few previous studies have…
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Hi,
I am interested to try your solution.
but I am not familiar to the concept of "implicit parameter updates".
could you explain more on what is this meant and how to handle it?
I am working o…
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`embedding_layer = Embedding(max_features,
embed_size,
input_length=max_senten_len,
weights=[embedding_matrix])
…
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Hello.
**How to make predictions via LSTM type recurrent neural networks algorithm ???**
_We don't see anywhere in the documentation how to use LSTM-like recurrent neural networks._
**How do …
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Every other layer I tried accepts custom activations
**Minimal code**
```python
import tensorflow as tf
@tf.function
def my_hard_sigmoid(x):
return x
@tf.function
def my_hard_tan…