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University of Waterloo2y
Quantile-Based Encoder-Decoder Deep Learning Models for Multi-Step Ahead Hydrological Forecasting | Dr. John M. Quilty - University of Waterloo
(2022, December 12-16). Quantile-Based Encoder-Decoder Deep Learning Models for Multi-Step Ahead Hydrological Forecasting [Conference presentation]. American Geophysical Union (AGU) Fall Meeting 2022, ...
GitHub2mon
Image-Captioning-with-Encoder-Decoder-Architecture-Using-Deep-Learning
The model leverages the Inception v3 pre-trained model for feature extraction from images and an LSTM-based decoder to generate captions. The architecture follows an encoder-decoder structure where ...
GitHub3y
GitHub - znawfar/NMT-with-Attention: I have implemented encoder-decoder based seq2seq models with attention. The first aim for this implementation is to work towards ...
I have implemented encoder-decoder based seq2seq models with attention. The first aim for this implementation is to work towards computational grounded theory and thematic analysis using NLP and deep ...
IEEE5y
A Novel Deep Learning-Based Encoder-Decoder Model for Remaining Useful Life Prediction - IEEE Xplore
A novel encoder-decoder model based on deep neural networks is proposed for the prediction of remaining useful life (RUL) in this work. The proposed model consists of an encoder and a decoder. In the ...
Forbes2y
Overview Of How To Create Deepfakes - It’s Scarily Simple - Forbes
Deepfakes are simple to make. A simple overview of the artificial intelligence (AI) behind deepfakes: Generative Adversarial Networks (GANs), Encoder-decoder pairs and First-Order Motion Models.
IEEE8mon
A Novel Weber Cross Information Sharing Deep Learning Encoder Decoder Model for Emotion Recognition Using Facial Expression
This study introduces an innovative deep learning framework, the Weber Cross Information Sharing Deep Learning Encoder-Decoder (WCISD-ED) model, designed for emotion recognition through facial ...