$457.43 – $866.70

Fundamentals of Deep Learning for Natural Language Processing

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BASH, Level 3

79 Ayer Rajah Crescent

139955

Singapore

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Overview

Learn to implement common Deep Learning workflows such as image segmentation and text generation. You should also have basic experience with Neural Networks, Python programming and / or familiarity with linguistics.

Led by experienced instructors, you can expect to learn the latest deep learning techniques for designing and deploying neural network-powered machine learning across a variety of application domains.

In the course, participants will learn to:

  • Convert text to representation understood by machines and classical approaches
  • Implement distributed representations (embeddings) and understand their properties
  • Train Machine Translators from one language to another

This workshop teaches you to apply deep learning techniques for understanding textual input using Natural Language Processing (NLP) through a series of hands-on exercises. You will work with widely-used deep learning tools, frameworks, and workflows by performing neural network training on a fully-configured GPU accelerated workstation in the cloud.

The course starts with the technique of training a neural network for text classification followed by building a linguistic style model to extract features from a given text document and concludes with a neural machine translation model for translating one language to another.

You should also have basic experience with Neural Networks and python programming and/or familiarity with linguistics.

Click here for more SGInnovate – NVIDIA Training Programmes.


Agenda

08:45am – 09:00am: Registration
09:00am – 09:45am: Introduction
Introduction to deep learning, situations in which it is useful, key terminology, industry trends and challenges

  • Course Overview
  • Getting Started with Deep Learning

09:45am – 10:00am: Tea Break
10:00am – 12:00pm: Image Segmentation with TensorFlow
Hands-on exercise: Segment MRI images to measure parts of the heart using tools such as TensorBoard and the TensorFlow Python API

  • Compare image segmentation to other computer vision problems
  • Experiment with TensorFlow tools
  • Implement effective metrics for assessing model performance

12:00pm – 1:00pm: Lunch
1:00pm – 3:00pm: Word Generation with TensorFlow
Hands-on exercise: Train a Recurrent Neural Network to understand both images and text, and to predict the next word of a sentence using the MSCOCO (Microsoft Common Objects in Context) dataset

  • Introduction to Natural Language Processing (NLP) and Recurrent Neural Networks (RNNs)
  • Create network inputs from text data
  • Test with new data
  • Iterate to improve performance

3:00pm – 3:15pm: Tea Break
3:15pm – 5:15pm: Image and Video Captioning
Hands-on exercise: Train a model that generates a description of an image from raw pixel data by combining outputs of multiple networks (CNNs and RNNs) through concatenation and/or averaging.

  • Combine computer vision and natural language processing to describe scenes
  • Learn to harness the functionality of Convolutional Neural Networks (CNNs) and RNNs

5:15pm – 5:30pm: Summary
Review of concepts and practical takeaways

  • Summary of key learnings
  • Workshop survey


Pricing

  • Regular Ticket: SGD$450 / pax (before GST)
  • 5% Early Bird Discount (ends 28 April 2019) - SGD$427.50 / pax (before GST)
  • 10% Bundle Discount when your purchase together with Fundamentals of Deep Learning for Multiple Data Types Workshop (ends 14 May 2019) - SGD$810 / pax (before GST)

For group discounts or enquiries, please contact learning@sginnovate.com.


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Location

BASH, Level 3

79 Ayer Rajah Crescent

139955

Singapore

View Map

Refund Policy

No Refunds

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