This workshop is available online or in-person (only if you're located in Toronto).

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Natural Language Processing (NLP) has advanced very fast in the past decade, extremely fast during the past 5 years, & yet much faster during the past year. New techniques are beating state of the arts every week. A paradigm shift is needed to stay up to date. Are you ready?

In this workshop, you will learn the theory & gather hands on experience in some of the most recent techniques & concepts in deep NLP.

*Dates:*
Please note that this workshop will happen on 3 separate evenings:
--> June 27, 2019 (SAME DAY AS THE IN-PERSON NYAI NLP EVENT IN NYC. ATTENDEES TO BOTH WILL BE ABLE TO CATCH UP WITH THE COURSE MATERIALS/WORKSHOP VIDEO & GET THEIR QUESTIONS ANSWERED)
--> July 4, 2019
--> July 11, 2019

*Why you should attend:*
In this 3-session intensive workshop, we will bring you up to speed with latest architectures & algorithms on deep NLP that are the foundation of latest developments such as BERT & GPT-2. Through our lectures & hands-on exercises you will build a solid understanding of modern deep NLP techniques, which enables you to apply the latest algorithms to your own work.

This workshop is built on extensive experience in academia & industry as well as more than a year of experience in conducting highly interactive sessions on cutting edge NLP topics.

This workshop is the first in its series & paves the way theoretically & technically for many application specific workshops to follow.

*Target Audience:*
Data Scientists, Machine Learning Engineers, AI Researchers, Students

*Prerequisites:*
-Knowledge of Python
-Familiarity with Linear Algebra
-Knowledge of Machine Leaning
-Familiarity with TensorFlow & PyTorch is a plus but not a hard requirement

*Learning Outcomes:*
-You will know the cutting edge deep NLP techniques
-You will be able to implement sophisticated deep NLP models from scratch
-You will learn NLP Model Architectures & will know what to apply where
-You will learn the bottlenecks in modern NLP techniques & how to mitigate them
-You will be able to apply transfer learning methods in NLP

*Instructor:*
-Ehsan Amjadian (twitter: @EhsanAmjadian)

Sr. Data Scientist at RBC

Ehsan has a PhD in Deep Learning & Natural Language Processing, more than a decade of experience in the field of NLP, & years of experience in applying NLP, Machine, & Deep Learning in the industry.

*Course Modules:*
The workshop happens on 3 evenings, 3 hours each; each module below will be 50 mins.

Week 1:
-Overview Deep NLP Architectures
-Transfer Learning in Deep NLP (hands on)
-Encoder-Decoder Architecture

Week 2:
-Attention
-Self Attention
-Implementing Self Attention (hands on)

Week 3:
-Vocabulary Encoding & Positional Encoding
-Decoder Implementation & Evaluation (hands on)
-Decoder Search Optimization