autoenc_denoise_e: Denoising Autoencoder - Encode
Description
Creates an deep learning denoising autoencoder to encode a sequence of observations.
It wraps the pytorch library.
Usage
autoenc_denoise_e(
input_size,
encoding_size,
batch_size = 32,
num_epochs = 1000,
learning_rate = 0.001,
noise_factor = 0.3
)
Value
a autoenc_denoise_e_decode object.
Arguments
- input_size
input size
- encoding_size
encoding size
- batch_size
size for batch learning
- num_epochs
number of epochs for training
- learning_rate
learning rate
- noise_factor
level of noise to be added to the data
Examples
Run this code#See an example of using `autoenc_denoise_ed` at this
#https://github.com/cefet-rj-dal/daltoolbox/blob/main/autoencoder/autoenc_denoise_e.md
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