Conference: Artificial Intelligence - Deep Learning

10/July/2019

Machine learning uses computers to run predictive models that learn from existing data to forecast future behaviors, outcomes, and trends. Deep learning is a sub-field of machine learning, where models inspired by how our brain works are expressed mathematically, and the parameters defining the mathematical models, which can be in the order of few thousands to 100+ million, are learned automatically from the data.

Deep learning is a key enabler of AI powered technologies being developed across the globe. In this deep learning workshop, you will learn an intuitive approach to building complex models that help machines solve real-world problems with human-like intelligence. The intuitive approaches will be translated into working code with practical problems and hands-on experience.

Speaker: Mr. Waseem Awwad - Microsoft Azure MVP.

Workshop Topics:

• Introduction to deep learning and a quick recap of machine learning concepts.
  
  
• Building a simple multi-class classification model using logistic regression
  
  
• Detecting digits in hand-written digit image, starting by a simple end-to-end model, to a deep neural network
  
  
• Improving the hand-written digit recognition with convolutional network
  
  
• Building a model to forecast time data using a recurrent network
  
  
• Building text data application using recurrent LSTM (long short term memory) units