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A Long Short Term Memory (LSTM) is a neural network architecture that contains recurrent NN blocks that can remember a value for an arbitrary length of time.
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Why LSTM predicts very poorly with loss curves showing no indication of overfitting or under...
I am training a LSTM model for load demand prediction with:
Training Data: 18288 samples with 9 features
Validation Data: 0.05% of Training Data (about 915 samples)
Data Scaling: MinMax Scaler(0,1)---> …
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What degree of difference does validation and training loss need to have to be called good fit?
I am conducting a multi-variate time series forecasting using an LSTM model. … (LSTM) (None, 24, 256) 272384
lstm_1 (LSTM) (None, 100) 142800 …