'TensorFlow time series input/output question
Help, please!
I have a TensorFlow time series problem with the constraint that the model's input layer should be shape of (batch, before = 5, features = 1) and the model's output shape should be (batch, after = 5, features = 1). As well as (features = 1) neurons in the final dense layer since model predicts only 1 feature.
How do I go about shaping the input/output layers in the RNN model?
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