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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 ...
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 ...
marktechpost1y
Deep Learning Architectures From CNN, RNN, GAN, and Transformers To Encoder-Decoder Architectures
This article explores some of the most influential deep learning architectures: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), ...
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 ...
The use of a deep learning encoder-decoder algorithm will enable our chatbot to understand and generate human-like responses to user queries, making it a more effective and engaging tool for providing ...
IEEE2y
Encoder Decoder Based Deep Learning Architecture For Video Scene Parsing - IEEE Xplore
Encoder Decoder Based Deep Learning Architecture For Video Scene Parsing Abstract: Due to its use in a variety of fields, including autonomous driving, ... For this work, experiment is performed on ...
IEEE3y
An Encoder-Decoder Deep Learning Approach for Multistep Service Traffic Prediction
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 ...