End-to-end learning framework for circular RNA classification from other long non-coding RNAs using multi-modal deep learning.
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Updated
Nov 3, 2018
End-to-end learning framework for circular RNA classification from other long non-coding RNAs using multi-modal deep learning.
Implementación para Curso de Seminario 2 (2021-2), Universidad de Lima
Neural network model that predicts the number of syllables in an English word. It shows its creation end-to-end: from data collection to evaluation of various models. One of the explored models is used in the Readgauge app.
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It's a well known problem in the field of Natural Language Processing(NLP) where we need to find the Named Entities given in a sentence
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My master project at UofL: End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning
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