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Creates an deep learning convolutional autoencoder to encode a sequence of observations. It wraps the pytorch library.
cae2d_encode_decode( input_size, encoding_size, batch_size = 32, num_epochs = 50, learning_rate = 0.001 )
a cae2d_encode_decode object.
cae2d_encode_decode
returns a cae2d_encode_decode object.
input size
encoding size
size for batch learning
number of epochs for training
learning rate
#See an example of using `cae2d_encode_decode` at this #[link](https://github.com/cefet-rj-dal/daltoolbox/blob/main/transf/cae2d_enc_decode.ipynb)
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