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 ...

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 ...

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 ...

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 ...

The research thoroughly investigates the UNet encoder in diffusion models, revealing gentle changes in encoder features and substantial variations in decoder features during inference. Introducing an ...

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 ...