ARTIFICIAL INTELLIGENCE AND DEEP LEARNING WORKSHOP
Media Rotana

24 - 25 APRIL 2017

overview

Artificial Intelligence and Deep learning are responsible for solving many complex problems in the past couple of years. For e.g. If you use Google Home, speech to text conversion is done by a Deep learning algorithm. If you use Translation products, for translating from one language to other is all done by a Deep Learning Algorithm. If you are interacting with a customer service representative through chat probably you are talking to a Bot trained on Deep Learning algorithm. If you see awesome advancements about cars like Tesla which can drive itself, it is done by Deep Learning algorithm too. Cancer Detection, Cervical screening advancements have been pushed forth by Deep Learning algorithms.

There is a mystery that surrounds deep learning and Artificial Intelligence. This workshop will help you to understand the basics of Deep learning and build models using different frameworks (Keras and Tensorflow). Sessions will be very hands on, you will build a model for Feed Forward Networks, Recurrent Neural Networks, Convolutional Neural Networks and Reinforcement Learning. Understand the basics of these sessions.

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LEARNING OUTCOMES

  Get the fundamentals of Deep Learning.

  Understand how Feed Forward Neural Network and Back propagation works.

  Implement a Anomaly detection model using Auto-Encoders.

  Understand where Auto-Encoders can be used.

  Implement a Image classification model using Convolutional Neural Networks.

  Understand how to build a Image classification model using less data.

  Get the fundamentals for NLP using embeddings.

  Implement a Recurrent Neural Network from Scratch.

  Implement a Sentiment analysis using LSTMs in Keras.

  Understand where to use Reinforcement Learning.

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INSTRUCTOR PROFILE

MALAIKANNAN SANKARASUBBU
He is founder and CTO of Datalog.ai San Francisco based startup He has been an avid developer of DL models for many years. His areas of interest include Natural Language Understanding and Computer Vision. He is passionate about lowering barrier for entry in AI and Deep learning.


FARIZ RAHMAN
He is a Machine Learning Engineer at Datalog.ai San Francisco based startup. He is an active contributor to open source deep learning frameworks. He is the second-best contributor in Keras DL Framework. He is very passionate about all aspects of Deep Learning including theory and practice. He regularly talks in meetups and technical events.

ATTENDEE PROFILE

   Should be proficient in algebra.

   Experience in differential calculus will help, but is not a must.

   Experience with Linear Algebra will help but it is not a must.

   Experience with python programming language.

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AGENDA

08:30 AM

COFFEE AND REGISTRATION


 
09:00 AM

INTRODUCTION TO MACHINE LEARNING

  Why Machine Learning?
   Who uses Machine Learning?
   Brief history of Machine Learning.
   Build ur own very own logistic regression. Build it from scratch.
   Sets the base for the sessions further.
 

10:30 AM

COFFEE BREAK


 
10:50 AM

INTRODUCTION TO FEED FORWARD NEURAL NETWORKS (MLP)

  Write your own from scratch
   What is Backpropagation?
   Build your own model using public dataset.
 

12:30 PM

LUNCH BREAK


 
01:30 PM

UNSUPERVISED LEARNING AND AUTO ENCODERS

  What are Auto-Encoders? How can Auto-Encoders be used for Anomaly Detection?
   Hands-on tutorial using public dataset.
 

03:00 PM

COFFEE BREAK


 
03:20 PM

INTRODUCTION TO IMAGE CLASSIFICATION USING CNN

  Build a Image classification model using Keras
   Why CNN why not Feed Forward network?
   How CNN works?
 

04:50 PM

CLOSING REMARKS


 
08:30 AM

COFFEE AND REGISTRATION


 
09:00 AM

INTRODUCTION TO NLP

  What is embeddings why do you need it?
  Build a model using public dataset.
  Do a TSNE analysis to understand embeddings better.
 

10:30 AM

COFFEE BREAK


 
10:50 AM

NATURAL LANGUAGE UNDERSTANDING AND HOW TO BUILD A CHATBOT?


  What is NLU?
  How to build a chatbot using existing NLU framework?
  Where can chatbots be applied?
 

11:30 AM

INTRODUCTION TO RNN

  Write your own from scratch?
  Build a simple model using Public dataset
  Sentiment analysis classification model using LSTMs.
 

12:30 PM

LUNCH BREAK


 
01:30 PM

TRANSFER LEARNING

  How to build your own model from scratch?
  Use little data to do image classification
  How does Transfer Learning work?
 

03:00 PM

COFFEE BREAK


 
03:20 PM

INTRODUCTION TO REINFORCEMENT LEARNING

  How to do it?
  What can you solve with it
  Practical tips and tricks?
 

04:50 PM

CLOSING REMARKS


 

Workshop starts in:

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Offline Registration

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For further information, please contact us: info@theinfinityconferences.com or call us on +971 55 875 2588

Venue


Media Rotana | Hessa Street | Barsha Heights | Dubai | United Arab Emirates