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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

I have a network with 2 inputs and 4 outputs. I have built an LSTM model with time step =5. import … Read more Error When Checking Target: Expected Dense_ To Have 3 Dimensions, But Got Array With Shape (100, 4)

I'm trying to create an LSTM network in Tensorflow and I'm lost in terminology/basics. I ha… Read more Lstm Inputs For Tensorflow

Currently working on a regression problem with tf2.0. In order to prepare my dataset, I have used t… Read more Typeerror: 'nonetype' Object Is Not Callable Tensorflow

I have the following simplified code (actually, unrolled LSTM model): def func(a, b): with tf.v… Read more Avoiding Duplicating Graph In Tensorflow (lstm Model)

I am slightly confused on the different ways to apply dropout to my Sequential model in Keras. My m… Read more Does Applying A Dropout Layer After The Embedding Layer Have The Same Effect As Applying The Dropout Through The Lstm Dropout Parameter?

In this question How do I set TensorFlow RNN state when state_is_tuple=True?: the accepted answer i… Read more Tensorflow Rnn How To Create Zero State With Various Batch Size?

I am trying to predict multidimensional values in sequence, e.g. [[0, 0, 2], [1, 0, 3], [2, 3, 4], … Read more Keras Lstm Multidimensional Output Error — Expected Time_distributed_17 To Have 3 Dimensions, But Got Array With Shape (1824, 3)