All Questions
5 questions
0
votes
0
answers
17
views
Adding sliding window dimension to data causes error: "Expected 3D or 4D (batch mode) tensor ..."
I wrote a pytorch data loader which used to return data of shape (4,1,192,320) representing the 4 samples of single channel image, each of size ...
- 219
1
vote
1
answer
539
views
pytorchs LSTMs use of 'bias' and 'weight' strings
Hi I am new to RNN and have come across this the following implementation of Pytorchs LSTM, but I cant understand how (or why) the 'bias' and ...
- 135
2
votes
1
answer
3k
views
What is the purpose of Sequence Length parameter in RNN (specifically on PyTorch)?
I am trying to understand RNN. I got a good sense of how it works on theory. But then on PyTorch you have two extra dimensions to your input data: batch size (number of batches) and sequence length. ...
- 23
0
votes
1
answer
81
views
LSTM / GRU weights during test time
I am working on a historic time series dataset and using RNN, LSTM, GRU models, and I didn't find an answer if in test time, the h (or h, c) weights should be zeors for each batch?
If the weights ...
- 11
1
vote
0
answers
313
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 ...
- 998