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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 ...
marktechpost1y
Deep Learning Architectures From CNN, RNN, GAN, and Transformers To Encoder-Decoder Architectures - MarkTechPost
This article explores some of the most influential deep learning architectures: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), ...
University of Waterloo2y
Quantile-Based Encoder-Decoder Deep Learning Models for Multi-Step Ahead Hydrological Forecasting | Dr. John M. Quilty - University of Waterloo
Quantile-Based Encoder-Decoder Deep Learning Models for Multi-Step Ahead Hydrological Forecasting [Conference presentation]. American Geophysical Union (AGU) Fall Meeting 2022, Online. Recent ...
GitHub2y
GitHub - Anca-Mt/CHATBOT-encoder-decoder: The objective of this project is to create a deep learning model trained to answer specific questions from various domains. This type ...
In this project, I implemented a chatbot using the encoder-decoder algorithm as part of my exploration into the field of deep learning. The encoder-decoder architecture has gained widespread attention ...
IEEE2y
Encoder Decoder Based Deep Learning Architecture For Video Scene Parsing - IEEE Xplore
Due to its use in a variety of fields, including autonomous driving, robot navigation, remote sensing, medical research, agriculture etc.,In recent years, video scene parsing (VSP) has become ...
IEEE3y
An Encoder-Decoder Deep Learning Approach for Multistep Service Traffic Prediction - IEEE Xplore
The prediction of traffic in regards to data services can be leveraged by cloud and edge computing orchestration mechanisms in order to minimize the costly number of resources being utilized and ...