Sentiment Analysis Using Apache MXNet and Gluon


Sentiment Analysis Using Apache MXNet and Gluon


Deep learning plays a significant role in sentiment analysis, where algorithms can be trained to quickly learn and detect patterns in large volumes of data. In this webinar, we’ll provide an overview of the Apache MXNet deep learning framework and Gluon, the new imperative API Interface that allows developers to easily get started with building neural networks. We’ll also provide a step-by-step demonstration of how to build an LSTM network to perform sentiment analysis using the IMDB dataset, which includes highly polarized sentiment data.

When: November 14 | 09:00 AM - 09:40 AM PT | 12:00 PM - 12:40 PM ET

Learning Objectives:
• Learn how to easily get started with Deep Learning on AWS using the AWS Deep Learning AMI
• Learning how to use Apache MXNet and Gluon to start and scale deep learning projects
• Learn how to build an LSTM network for sentiment analysis

Who Should Attend: Developers, Data Scientists, IT practitioners, Researchers

Speakers: Vikram Madan, Sr. Product Manager, AWS

Register for the Webinar