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Preprocess data in nlp text classification and text sequence in TensorFlow. There's different steps in both classification and sequence task, thus it need different steps. These steps in TensorFlow is so much easy if you get into it.
Toolkit designed for developers to evaluate, select, and deploy embedding models. It streamlines the lifecycle from model evaluation to data embedding and querying.
An elegant hybrid search engine that significantly enhances search precision by seamlessly querying semantically related results using embedding AI models. For experiencing AI models and integrations.
DL Lab Project - Given a subset of switchboard corpus, goal is to classify dialogue acts from Speech and Text data. We define a RNN-LSTM model for Text classification and CNN model for speech classification and then ensemble both model to output a stable and higher performance model
An NLP (Natural Language Processing) model that analyzes a research paper and categorizing it into objective, methods, results, etc, providing researchers to skim through the research paper easily with brief details.