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Neural Network Learning Events

Join Canada's premier gathering of AI researchers, practitioners, and enthusiasts. Our 2025 event series brings together minds shaping the future of machine learning.

Hands-On Neural Architecture Workshops

Our signature workshop series runs from September through November 2025. You'll work directly with convolutional networks, transformer architectures, and reinforcement learning systems that are actually deployed in production environments.

  • Build and train custom neural networks using real datasets
  • Explore computer vision applications in medical imaging
  • Implement natural language processing for document analysis
  • Design reinforcement learning agents for optimization problems
  • Debug and optimize model performance in practical scenarios
Neural network workshop participants collaborating on computer vision projects

2025 Event Calendar

Our carefully planned schedule ensures you can dive deep into each topic while maintaining momentum in your learning journey.

September 14-15, 2025

Fundamentals Intensive

Two-day deep dive into neural network mathematics, backpropagation algorithms, and gradient descent optimization. Perfect for building solid theoretical foundations.

Location: University of Ottawa Campus
Format: In-person with virtual attendance option
October 12-13, 2025

Computer Vision Applications

Hands-on experience with CNNs, image classification, object detection, and segmentation. Work with real medical imaging data and autonomous vehicle perception systems.

Location: Carleton University Research Labs
Prerequisites: Basic Python and linear algebra
November 16-17, 2025

NLP and Transformers

Build your own transformer models, fine-tune pre-trained language models, and implement attention mechanisms. Includes practical work with BERT, GPT architectures, and custom tokenizers.

Location: McGill University Montreal
Special: Industry guest speakers from Canadian AI companies

Research Leaders and Practitioners

Our events feature researchers who've published breakthrough work in top-tier conferences and practitioners deploying neural networks at scale in Canadian industries.

Dr. Elena Kowalski, neural network researcher specializing in medical AI applications

Dr. Elena Kowalski

Principal Researcher, Vector Institute

Elena leads medical imaging research using deep learning for early cancer detection. Her work on few-shot learning in radiology has been adopted by three major Canadian hospitals.

Dr. Priya Chen, AI systems architect with expertise in production neural network deployment

Dr. Priya Chen

Senior AI Architect, Shopify

Priya designs and deploys recommendation systems serving millions of users daily. She'll share insights on scaling neural networks and handling real-world data challenges in e-commerce.

Advanced neural network research laboratory with high-performance computing clusters

Ready to Join Our Neural Network Community?

Each workshop is limited to 40 participants to ensure personalized attention and meaningful interaction. Early registration for our September 2025 kickoff begins in June 2025.

What's Included

All workshop materials, cloud computing credits, datasets, reference implementations, and ongoing access to our learning community.

Prerequisites

Comfortable with Python programming, basic understanding of calculus and linear algebra. No prior deep learning experience required.

Continuing Education

Monthly online sessions continue through early 2026, featuring project presentations and discussions of latest research developments.

Get Registration Information