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This is similar to a denoising autoencoder in the sense that it is also a form of regularization to reduce the propensity for the network to overfit. Contractive Autoencoder. Contractive encoders are much the same as the last two procedures, but in this case, we do not alter the architecture and simply add a regularizer to the loss function.Autoencoders This repository is a Torch version of Building Autoencoders in Keras , but only containing code for reference - please refer to the original blog post for an explanation of autoencoders. Sep 29, 2017 · The Amazing Effectiveness of Sequence to Sequence Model for Time Series In this tutorial, I am excited to showcase examples of building Time Series forecasting model with seq2seq in TensorFlow. The purpose of this post is to give an intuitive as well as technical understanding of the implementations, and to demonstrate the two useful features ...