2-Day Training Courses

All training courses take place 9:00 – 17:00, Monday, 14 October – Tuesday, 15 October. In order to maintain a high level of hands–on learning and instructor interaction, each training course is limited in size.

Participants should plan to attend both days of this 2-day training course. To attend training courses, you must register for a Platinum or Training pass; does not include access to tutorials on Tuesday.

Monday, 14 October - Tuesday, 15 October

9:00 - 17:00 Monday, 14 October & Tuesday, 15 October

Location: Park Suite

Deep learning with TensorFlow

Michael Cullan (Pragmatic Institute)

Average rating:

(4.00, 1 rating)

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. Read more.

9:00 - 17:00 Monday, 14 October & Tuesday, 15 October

Location: Westminster Suite

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. Read more.

9:00 - 17:00 Monday, 14 October & Tuesday, 15 October

Location: Hilton Meeting Room 1/2

AI for executives

Angie Ma (Faculty), Richard Sargeant (Faculty), Joshua Muncke (Faculty Science Ltd)

Average rating:

(5.00, 2 ratings)

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. Read more.

9:00 - 17:00 Monday, 14 October & Tuesday, 15 October

Location: Hilton Meeting Room 3/4

Convolutional neural networks for image recognition in Keras and TensorFlow

Umberto Michelucci (TOELT LLC)

Average rating:

(4.00, 1 rating)

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. Read more.