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- D = 1 # Dimensionality of the data. Since your data is 1-D this would be 1
- num_unrollings = 50 # Number of time steps you look into the future.
- batch_size = 500 # Number of samples in a batch
- num_nodes = [200,200,150] # Number of hidden nodes in each layer of the deep LSTM stack we're using
- n_layers = len(num_nodes) # number of layers
- dropout = 0.2 # dropout amount
- tf.reset_default_graph() # This is important in case you run this multiple times
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