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GitHub11mon
Encoder-to-Decoder-Sequence-to-Sequence-Model/README.md at main · pranayreddy99/Encoder-to-Decoder-Sequence-to-Sequence-Model - GitHub
Encoder-Decoder Seq2Seq (Sequence-to-Sequence) is a type of neural network architecture used for machine translation, speech recognition, and other natural language processing tasks. The ...
GitHub5y
lkulowski/LSTM_encoder_decoder: Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data - GitHub
We use PyTorch to build the LSTM encoder-decoder in lstm_encoder_decoder.py. The LSTM encoder takes an input sequence and produces an encoded state (i.e., cell state and hidden state). We feed the ...
Analytics India Magazine5y
Sequence-to-Sequence Modeling using LSTM for Language Translation - Analytics India Magazine
Natural Language Processing has many interesting applications and Sequence to Sequence modelling is one of those interesting applications. It has major applications in question-answering systems and ...
Frontiers4y
Clustering and Recognition of Spatiotemporal Features Through Interpretable Embedding of Sequence to Sequence Recurrent Neural Networks - Frontiers
1 Department of Electrical & Computer Engineering, University of Washington, Seattle, WA, United States; 2 Department of Applied Mathematics, University of Washington, Seattle, WA, United States; ...
IEEE3y
Dual Attention-Based Encoder–Decoder: A Customized Sequence-to-Sequence Learning for Soft Sensor Development - IEEE Xplore
Soft sensor techniques have been applied to predict the hard-to-measure quality variables based on the easy-to-measure process variables in industry scenarios. Since the products are usually produced ...
marktechpost1y
Deep Learning Architectures From CNN, RNN, GAN, and Transformers To Encoder-Decoder Architectures - MarkTechPost
Encoder-Decoder Architectures. Encoder-decoder architectures are a broad category of models used primarily for tasks that involve transforming input data into output data of a different form or ...
IEEE4y
Dual Attention-Based Encoder–Decoder: A Customized Sequence-to-Sequence Learning for Soft Sensor Development - IEEE Xplore
Since the products are usually produced with prearranged processing orders, the sequential dependence among different variables can be important for the process modeling. To use this property, a dual ...