Questions tagged [stacked-lstm]
The stacked-lstm tag has no usage guidance.
10
questions with no upvoted or accepted answers
2
votes
0answers
26 views
Wiggle in the initial part of an LSTM prediction
I working on using LSTMs and GRUs to make time series predictions. For the most part the predictions are pretty good.
However, there seems to be a wiggle (or initial up-then-down) before the ...
2
votes
0answers
155 views
LSTM for multiple time series regression with extremely large ranges
I have the following question for those which encountered the same dilemma as me:
My target is to develop a LSTM RNN for multi-step prediction for multiple time series representing daily sales of ...
1
vote
0answers
100 views
What is the reason behind Keras choice of default (recurrent) activation functions in LSTM networks
Activation function between LSTM layers
In the above link, the answer to the question whether activation function are required for LSTM layers was answered as follows: as an LSTM unit already consists ...
1
vote
0answers
265 views
Splitting and training multiple datasets at the same time
I've got 15 different datasets at about 10GB each. Each dataset comes with a binary 2D ground truth (10486147ish, 1) that I pull from it. I'm trying to figure out how to load each dataset, split them ...
1
vote
0answers
36 views
Initialising states in a multilayer sequence to sequence model
With a sequence to sequence model where the enocoder and decoder are both comprised of one layer each, the initial state of the decoder is initialised to use the final states of the encoder layer.
In ...
1
vote
0answers
128 views
LSTM Produces Random Predictions
I have trained an LSTM in PyTorch on financial data where a series of 14 values predicts the 15th. I split the data into Train, Test, and Validation sets. I trained the model until the loss ...
0
votes
0answers
57 views
Why does the forecasting of this LSTM model look like a steady line?
This is a multivariate multistep problem using LSTM NN model. I am trying to forecast one variable by means of the other variables. However, the forecasting output looks like a horizontal line.
Kindly ...
0
votes
0answers
31 views
LSTM backpropagation issue in Keras code
I have trained the network with data in batches of some batch size >1. After training, I am using trained network and then manually update parameters for every example using backpropagation. The ...
0
votes
0answers
18 views
LSTM's with variable size input features + how to do embeddings with (x,y) coordinate systems
Background : So I have a dataset of x,y positions of dancers dancing("doin' their thang!!"). Some sequences of the dance are with 8, some with 5,4,8, upto 16. So, I am trying to do something like ...
0
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0answers
73 views
How multi layer LSTM are interconnected?
I am trying to understand the layers in LSTM for my own implementation using Python. I started with Keras to getting familiarized with the layer flow.
I have tried the below code in Keras and I have ...
