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encoder-decoder-models

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This study investigates the performance effect of using recurrent neural networks (RNNs) for semantic segmentation of urban scene images, to generate a semantic output map with refined edges. We proposed three deep neural network architectures using recurrent neural networks and evaluated them on the Cityscapes dataset. All three proposed archit…

  • Updated Dec 10, 2020
  • Python

Successfully developed a sequence-to-sequence model with attention mechanism for Ukrainian-to-English language translation, ensuring context-aware and grammatically accurate sentence outputs.

  • Updated Jul 4, 2025
  • Jupyter Notebook

Successfully developed a Seq2Seq model with attention to perform Portuguese-to-English language translation, capturing contextual dependencies for accurate and fluent bilingual sentence generation.

  • Updated Jul 4, 2025
  • Jupyter Notebook

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