14–17 Oct 2019
Westminster Suite
Hilton Meeting Room 1/2
9:00
AI for executives
Angie Ma (Faculty), Richard Sargeant (Faculty), Joshua Muncke (Faculty Science Ltd)
Hilton Meeting Room 3/4
9:00
Convolutional neural networks for image recognition in Keras and TensorFlow
Umberto Michelucci (TOELT LLC)
Park Suite
8:00
Morning Coffee
| Room: Hilton Meeting Room Foyer
10:30
Morning Break
| Room: Hilton Meeting Room Foyer & Westminster Suite
15:00
Afternoon Break
| Room: Hilton Meeting Room Foyer & Westminster Suite
12:30
Lunch
| Room: Fiamma Restaurant
9:00-17:00 (8h)
Implementing AI
Deep Learning, Deep Learning tools, Machine Learning
Deep learning with PyTorch
Rich Ott (The Pragmatic Institute)
PyTorch is a machine learning library for Python that allows you to build deep neural networks with great flexibility. Its easy-to-use API and seamless use of GPUs make it a sought-after tool for deep learning. Join Rich Ott to get the knowledge you need to build deep learning models using real-world datasets and PyTorch.
9:00-17:00 (8h)
AI Business Summit
Machine Learning
AI for executives
Angie Ma (Faculty), Richard Sargeant (Faculty), Joshua Muncke (Faculty Science Ltd)
Angie Ma and Richard Sargeant offer a condensed introduction to key AI and machine learning concepts and techniques, showing you what is (and isn't) possible with these exciting new tools and how they can benefit your organization.
9:00-17:00 (8h)
Computer Vision
Convolutional neural networks for image recognition in Keras and TensorFlow
Umberto Michelucci (TOELT LLC)
Convolutional neural networks (CNNs) are the basis of many algorithms that deal with images, from image recognition and classification to object detection. Using practical examples, Umberto Michelucci walks you through developing convolutional neural networks, using pretrained networks, and even teaching a network to paint. TensorFlow or Keras will be used for all examples.
9:00-17:00 (8h)
Implementing AI
Deep Learning, Deep Learning tools, Machine Learning
Deep learning with TensorFlow
Michael Cullan (Pragmatic Institute)
The TensorFlow library provides computational graphs with automatic parallelization across resources—ideal architecture for implementing neural networks. Michael Cullan walks you through TensorFlow's capabilities in Python, from building machine learning algorithms piece by piece to using the Keras API provided by TensorFlow with several hands-on applications.
8:00-9:00 (1h)
Break: Morning Coffee
10:30-11:00 (30m)
Break: Morning Break
15:00-15:30 (30m)
Break: Afternoon Break
12:30-13:30 (1h)
Break: Lunch
Presented by
Elite Sponsors
Strategic Sponsor
Exabyte Sponsor
Impact Sponsor
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