Deep Residual Networks with Range normalization for text classification.
I need a deep learning model to identify important medical concepts mentions from clinical documents, and classify them into personal identifying information (PII) and the four SOAP predefined categories, such as disease, symptoms, treatment etc. We propose the use of sentence embeddings, with deep Residual Networks with with residual connections and range normalization simultaneously, and transfer learning to improve the accuracy of the model. This requires an expert in deep learning especially using neural networks.
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I hope to see you in chat. Though I am new to freelancer.com I am an experienced deep learning developer with full-stack knowledge and career. I'm sure I can do this perfectly. Thanks for your kind attention.