cond_rnn
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Conditional RNNs for Tensorflow / Keras.
hi Your cond_rnn is a great work that I want to use it in my work. Unfortunately, we use pytorch more often. Could you also provide a pytorch version, or...
When I try to use Encoder-Decoder LSTM model, I encounnter this error. ValueError: Graph disconnected: cannot obtain value for tensor KerasTensor(type_spec=TensorSpec(shape=(None, 10), dtype=tf.float32, name='input_18'), name='input_18', description="created by layer 'input_18'") at...
Hi, this is similar to a previous issue I had opened here. I basically have a model with two conditional parameters. Previously I had only one, and I found that...
I have a dataset about glucose for 200 patients, and I have some static data that doesn't relate to time. These static data are from a case form that every...
1) In the general behavior of fitting an RNN model, we are using validation data to see the loss changes on it, too! Is it possible to apply it in...