-
So I want to change below Keras bidirectional LSTM layer into Transformer encoder:
`lstmLayer = keras.layers.Bidirectional( keras.layers.CuDNNLSTM(args.rnnSize, return_sequences = True, recurrent_i…
-
Hello, I didn't encounter any errors when training small amounts of data, but when I tried to train several Gs worth of data, I received the following error. Could you please advise me on how to fix i…
-
**Is your feature request related to a problem? Please describe.**
I wrote this up
https://gist.github.com/thistleknot/0edafe7c477290e300e5cac08e7a4984
Can be used with multivariate data to forecas…
-
**System information**
- Have I written custom code (as opposed to using a stock example script provided in TensorFlow.js):
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows 11
…
kzay updated
4 months ago
-
-
I am trying to implement language model kind of thing using bidirectional LSTM
In unidirectional LSTM, when we prepare data, if sentence is:
"A recurrent neural network is a class of artificial neur…
-
Thank you for sharing your very impressive performance and model.
I have one question for you.
I want to reproduce the same performance as you showed below, but how do I set the hyperparameter?
…
-
As title mentioned, could we provide a tutorial for bidirectional LSTM/RNN from scratch? I want to know the details for implementing the backward hidden states. @zackchase
-
Hi,
I downloaded `hierdec-mel_16bar` checkpoint from [magentadata]( https://storage.googleapis.com/magentadata/models/music_vae/checkpoints/hierdec-mel_16bar.tar).
I was attempting to continue t…
-
```
import jax
import jax.numpy as jnp
from jax.experimental import rnn
batch_size = 8
input_size = 8
hidden_size = 4
num_layers = 1
bidirectional = True
num_directions = 2 if bidirectional…