BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260605T041611Z UID:6c73b60b-b3c0-495b-a6c0-6d35dc7d57ba DTSTART;TZID=Canada/Eastern:20260617T090000 DTEND;TZID=Canada/Eastern:20260617T120000 DESCRIPTION:

This event was exported from Explora
The content provider for this event is: Compute Ontario
Registration may be requ ired for the event\, please visit the following URL to learn more : https://training.computeontario.ca/cours es/course/view.php?id=65

DESCRIPTION (PARTS 1 AND 2): Introduction of neural network programming concepts\, theory and technique s. The class material will being at an introductory level\, intended for t hose with no experience with neural networks\, eventually covering interme diate concepts.

DESCRIPTION (PART 3): This part will continue the de velopment of the neural network programming approaches from Parts 1 &\; 2. This part will focus on methods used to generate sequences: LSTM netwo rks\, sequence-to-sequence networks\, and transformers.

TEACHER: Eri k Spence (SciNet\, University of Toronto)

LEVEL: Introductory

FORMAT: Lecture + Hands-on

CERTIFICATE: Attendance

PREREQUISIT ES:

Experience with Python will be assumed. (This course is bei ng taught assuming this.)
No prior experience with the Keras neura l framework is expected. (The Keras neural framework will be used for neur al network programming.)

SUMMARY:Introduction to Neural Network Programming (Session 3 of 3) URL;VALUE=URI:https://training.computeontario.ca/courses/course/view.php?id =65 END:VEVENT END:VCALENDAR