ONLINE WEBINAR: Text Prediction Using Recurrent Neural Networks with TensorFlow

Please register HERE (https://goo.gl/l9E7vq)to get the unique link to join the webinar

Are you willing to learn how to perform text prediction using deep learning and TensorFlow?

Join the webinar (https://goo.gl/l9E7vq) to learn more!

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Overview

In this webinar, Dipendra Jha (https://www.linkedin.com/in/dipendra009/?__hstc=38408444.8eca82a5236137fe83a75da41d85c24f.1488281537209.1491916684542.1491992597887.40&__hssc=38408444.5.1491992597887&__hsfp=3830342050) and Reda Al-Bahrani (https://www.linkedin.com/in/redaalbahrani?__hstc=38408444.8eca82a5236137fe83a75da41d85c24f.1488281537209.1491916684542.1491992597887.40&__hssc=38408444.5.1491992597887&__hsfp=3830342050) will demonstrate how to use Sequence-to-sequence decoder from TensorFlow library build using Long Short Term Memory (LSTM) cells, on top of the text inputs embedded using the embedding lookup available in TensorFlow.

You will learn about:

• the required steps to accomplish text prediction from input processing, embeddings, to using LSTMs to make the prediction

• the concepts of Recurrent Neural Networks (RNNs) and Long Short Term Memory (LSTMs), followed by coding and demonstration for accomplishing the acutal text prediction using TensorFlow.

Who should attend?

This webinar will be of interest to Data Scientists, Software Engineers and Entrepreneurs in the areas of Connected Cars, Internet of Things/Industrial Internet, Medical Devices, Financial Technology (blockchain) and predictive apps/APIs of all sorts.

About the Presenters:

Dipendra Jha (https://www.linkedin.com/in/dipendra009/?__hstc=38408444.8eca82a5236137fe83a75da41d85c24f.1488281537209.1491916684542.1491992597887.40&__hssc=38408444.5.1491992597887&__hsfp=3830342050) is a fourth-year Ph.D. Candidate in Computer Engineering at Northwestern University. He is exploring the field of Deep Learning and Machine Learning using High Performance Computing (HPC) systems in the CUCIS lab under Prof. Alok Choudhary. His research focuses on scaling up deep learning and machine learning models using HPC system, and their application to accelerate Materials Discovery in the field of Materials Science and Engineering. Prior to this, he completed his Master’s in Computer Science from Northwestern University.

Reda Al-Bahrani (https://www.linkedin.com/in/redaalbahrani/?__hstc=38408444.8eca82a5236137fe83a75da41d85c24f.1488281537209.1491916684542.1491992597887.40&__hssc=38408444.5.1491992597887&__hsfp=3830342050) is a Ph.D. Candidate in Computer Science from Northwestern University. He is exploring the field of Deep Learning and Machine Learning in the CUCIS lab under Prof. Alok Choudhary. His research focuses on knowledge discovery for health informatics from structured data and textual data. He worked in IT infrastructure support at Saudi Aramco and on XHQ an Operations Intelligence Software at Siemens Saudi Arabia before joining the CUCIS lab. Before this, he completed his Master’s in E-Commerce Technology from DePaul University.