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Showing posts with the label Recurrent Neural Network

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

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

Multirnn And Static_rnn Error: Dimensions Must Be Equal, But Are 256 And 129

I want to build an LSTM network with 3 Layers. Here's the code: num_layers=3 time_steps=10 num_… Read more Multirnn And Static_rnn Error: Dimensions Must Be Equal, But Are 256 And 129

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

Tensorflow Lstm Error (valueerror: Shapes Must Be Equal Rank, But Are 2 And 1 )

I know this questions have been asked many times but i am kind of new to tensorflow and none of the… Read more Tensorflow Lstm Error (valueerror: Shapes Must Be Equal Rank, But Are 2 And 1 )

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