Questions tagged [rnn]
A recurrent neural network (RNN) is a class of artificial neural network where connections between units form a directed cycle.
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using a 2d matrix as a feature input to LSTM / RNN models
i am building an LSTM model to predict the combination of items that will be sold at a store level on a daily basis. Please note, this is an exploratory model and i have a good idea about the ...
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How to combine Embedding layer with 3D input and 2D input in Pytorch
This familiar with my ideas.
How to use Embedding() with 3D tensor in Keras?
I'm re-implementing some table-to-text papers using RNN-based seq2seq (like this one https://arxiv.org/pdf/1603.07771v3)
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How BPTT updating the weights while input are varing
how the RNN gets trained(BPTT) when the input size is varying because to update the weights the network has to be stable right
please reply on this
Thanks in advance
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Semantics Building In LSTM-Based Models - How does a LSTM is able to extract and represent long data using just one value (long-memory)
How does a LSTM is able to extract and represent long sequences with data while using just one value (long-memory / LM) to maintain all this information?
If multiple value were used, it could be ...
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Fuzzy Name Matching with Machine Learning. Input data encoding
I have a huge dataset: Last name, first name, date of birth of Indian residents and I need to match them for similarity.
The matching is fuzzy, the data looks like this (names are fictitious for the ...
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What is the shape of the hidden/cell state of convLSTM2D?
I am new to convLSTM2D and I understand how it works, however, I am confused about the shape of the hidden states at different epochs ...
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recognition of names, surnames and patronymics
is there an example of neural networks on Github or Kaggle that perform the task of recognizing identical surnames, first names and patronymics?
I'm just learning neural networks so it's interesting ...
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Determining the threshold value for the neural network
I have a dataset with last name, first name, middle name of people participating in sporting events. I need to train a neural network that will match similar surnames, first names and patronymics. But ...
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Deep neural network is plateauing on a regression task
I'm training a deep neural network on temporal graph data. Currently, I'm trying to get a feel for how large / complex of a model I should aim for, so I'm trying to overfit to my smallest dataset. ...
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Call volume prediction using LSTM and GRU
Machine Learning call volume prediction using LSTM and GRU
I am trying to predict the number of incoming calls using LSTM and GRU I have done all the data preprocessing but upon training the model I ...
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Are formulas in the article incorrect?
I am learning about backpropagation in LSTM. I have been studying an article and watching two videos on the topic. The videos 1 and 2 repeat all the information from the article, but with additional ...
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Drum sound classification using RNN issues - help needed
I am new to the field of machine learning, even tho I have solid background in semi-related fields (am control system engineer by trade) and as a hobby project I wanted to work a bit with sound ...
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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 ...
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Model Architecture for Time-Series Forecasting with Categorical and Multivariate Data
Context:
I was looking at using an LSTM model to forecast the amount of gold gained for each of 10 heroes in a game of Dota 2, a MOBA game, as a base model in some type of model architecture. The game ...
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Connecting Flatten layer to Dense layer
I'm struggling with my neural network.
In short, I need to recreate a model from anywhere on the internet, I've found a model that combines BiLSTM, LSTM and GRU. However, based on the error I got when ...
