Creates an deep learning stacked autoencoder to encode a sequence of observations. The autoencoder layers are based on DAL Toolbox Vanilla Autoencoder It wraps the pytorch library.
autoenc_stacked_e(
input_size,
encoding_size,
batch_size = 32,
num_epochs = 1000,
learning_rate = 0.001,
k = 3
)a autoenc_stacked_e_decode object.
#See an example of using autoenc_stacked_e_decode at this
#https://github.com/cefet-rj-dal/daltoolbox/blob/main/autoencoder/autoenc_stacked_e.md
input size
encoding size
size for batch learning
number of epochs for training
learning rate
number of AE layers in the stack