AIM411-R1: Deep learning applications with Apache MXNet, featuring the BBC - a podcast by AWS

The Apache MXNet deep learning framework is used for developing, training, and deploying diverse artificial intelligence (AI) applications, including computer vision, speech recognition, and natural language processing (NLP). In this session, learn how to develop deep learning models with MXNet on Amazon SageMaker. Hear from the BBC about how it built a BERT-based NLP application to allow its website users to find relevant clips from recorded shows. We use the BBC's NLP application to demonstrate how to leverage MXNet's GluonNLP library to quickly build, train, and deploy deep learning models.

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