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Showing posts with the label Recurrent Neural Network

Predicting Future Values In A Multivariate Time Forecasting Lstm Model

I am confused on how to predict future results with a time series multivariate LSTM model. I am try… Read more Predicting Future Values In A Multivariate Time Forecasting Lstm Model

How Can I Complete Following Gru Based Rnn Written In Tensorflow?

So far I have written following code: import pickle import numpy as np import pandas as pd import t… Read more How Can I Complete Following Gru Based Rnn Written In Tensorflow?

Training A Multi-variate Multi-series Regression Problem With Stateful Lstms In Keras

I have time series of P processes, each of varying length but all having 5 variables (dimensions). … Read more Training A Multi-variate Multi-series Regression Problem With Stateful Lstms In Keras

What Is A "cell Class" In Keras?

Or, more specific: what is the difference between ConvLSTM2D and ConvLSTM2DCell? What is the diffe… Read more What Is A "cell Class" In Keras?

Keras: Understanding The Number Of Trainable Lstm Parameters

I have run a Keras LSTM demo containing the following code (after line 166): m = 1 model=Sequential… Read more Keras: Understanding The Number Of Trainable Lstm Parameters

Dynamic Rnn In Keras: Use Custom Rnn Cell To Track Other Outputs At Each Timestep

Is there a way to return multiple outputs for a given timestep when implementing a custom cell for … Read more Dynamic Rnn In Keras: Use Custom Rnn Cell To Track Other Outputs At Each Timestep

Understanding The Structure Of My Lstm Model

I'm trying to solve the following problem: I have time series data from a number of devices. e… Read more Understanding The Structure Of My Lstm Model