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Modern Natural Language Processing with Deep Learning Training

Training Description

The main goal of course is to provide a comprehensive details on the recent advances
in deep learning applied to NLP. The session presents state of the art of NLP-centric deep learning research, and focuses on the role of deep learning played in major NLP applications including spoken language understanding, dialog systems,lexical analysis, parsing, knowledge graph, machine translation, question answering, sentiment analysis, social computing, and natural language generation (from images).

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Case studies

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Techniques

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Key skills

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Pre-requisites

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Instructional Method

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Topics

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Why Stillwaters?

What makes us different is real time practical experience.
Our knowledge of Micro-architecture makes us capable of looking at the complete stack, from hardware to software.

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