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GitHub10mon
sedula0/Encoder-Decoder-LSTM-Model - GitHub
This repository contains the implementation of a machine translation model using Encoder-Decoder architecture with Long Short-Term Memory (LSTM) cells. The model is designed to translate text from one ...
IEEE11d
Hybrid LSTM and Encoder–Decoder Architecture for Detection of Image Forgeries - IEEE Xplore
Hybrid LSTM and Encoder–Decoder Architecture for Detection of Image Forgeries Abstract: With advanced image journaling tools, one can easily alter the semantic meaning of an image by exploiting ...
GitHub9mon
pradoomvarma/Language-Translation-Encoder--Decoder-using-LSTM - GitHub
The Seq2Seq model consists of two main components: Encoder: Processes the input English sentence and outputs a context vector that summarizes the sentence.; Decoder: Uses the context vector and ...
Analytics India Magazine3y
Using Encoder-Decoder LSTM in Univariate Horizon Style for Time Series Modelling - Analytics India Magazine
Now, let’s have a look at the architecture of the encoder-decoder model. Image source. The above image is a representation of the architecture of an encoder-decoder model. Where x is input for the ...
marktechpost1y
How Does the UNet Encoder Transform Diffusion Models? This AI Paper Explores Its Impact on Image and Video Generation Speed and Quality - MarkTechPost
Diffusion models, integral in text-to-video and reference-guided image generation, leverage the UNet architecture, comprising an encoder, bottleneck, and decoder. While past research focused on the ...
IEEE6y
Hybrid LSTM and Encoder–Decoder Architecture for Detection of Image Forgeries - IEEE Xplore
Hybrid LSTM and Encoder–Decoder Architecture for Detection of Image Forgeries Abstract: With advanced image journaling tools, one can easily alter the semantic meaning of an image by exploiting ...