This repository implements the the encoder and decoder model with attention model for OCR, the encoder uses CNN+Bi-LSTM, the decoder uses GRU. This repository is ...

Collection of Natural Language Processing and Machine Learning implementations focusing on: Information Retrieval & RAG Systems LLM Fine-tuning Feature Engineering Neural Architecture Components ...

To overcome the limitations of existing methods, we present an attention-based long-short-term memory (LSTM) encoder–decoder model in which the historical time series of a pixel is encoded with a ...

First, let us understand why an Attention Mechanism made machine translation easy. Previously encoder ... we use LSTM to encode each word into a vector, then pass these vectors into the attention ...

Attention mechanisms are a powerful technique to enhance the performance of LSTM sequence ... hidden states of the encoder and the decoder in a sequence to sequence model. The encoder is the ...