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Results tagged with recurrent-neural-network
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user 172360
A recurrent neural network (RNN) is a class of artificial neural network where connections between units form a directed cycle.
2
votes
1
answer
518
views
Testing an LSTM making predictions 1 timestep into the future
Say I have a time series data set of 100 sequential timesteps, and I want to train and test an LSTM on the data set, but only on forecasting a single timestep into the future.
I want more than one p …
- 465
4
votes
1
answer
6k
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What is the purpose of unrolling an LSTM into multiple time steps if you can just use a stat...
As far as I understand the follwoing two models are essentially identical:
Having a stateful LSTM with just a single time step and passing 10 time-series data points into it one by one, and using th …
- 465
1
vote
1
answer
2k
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Many-to-many or many-to-one LSTM when predicting a value derived from a sequence of features
Let's say I have a time series data set consisting of features that may correlate to whether or not the price of a stock will go up or down. Say these data points are at 5 minute intervals. I build an …
- 465
12
votes
1
answer
17k
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Understanding how to batch and feed data into a stateful LSTM
Let me use daily price prediction of Bitcoin as a simple example (I am not actually working with Bitcoin but its temporal nature fits well to explain my question).
Say I had a data set consisting of …
- 465
1
vote
0
answers
403
views
Use all unrolled time step predictions in loss/accuracy calculations, or just the last one?
Take for example, I am building an LSTM RNN which takes in 5 features that correlate to the number of sales of a product for that day. The LSTM takes in sequences of 10 days of these 5 features (it is …
- 465
2
votes
1
answer
723
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Stateful LSTM for time-series prediction - should each input sequence be shifted by 1 time s...
I am building an LSTM, to attempt to learn the trend historic trend of some time-series data set (e.g. the daily share price of a company). When training my network, I am taking batches of size 1, eac …
- 465
1
vote
0
answers
202
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Written my first LSTM - looking for feedback as well as ways I can improve it's learning abi... [closed]
I have written an LSTM using Tensorflow that reads in sequences of 25 chars from a large text file of Shakespeare's plays. All charatcers are encoded to and from one-hot vectors. From what I can tell, …
- 465
2
votes
1
answer
191
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Wrote one of my first Neural Networks thinking I know exactly how it works. Now that I run i...
I have recently started studying Deep Learning and have become quite confident in my understanding of the theory of how NNs work. I have written a couple of simple NNs from scratch in Python, to ensur …
- 465