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Jorge del Val (Research Engineer, EA SEED)
Location: Room 303, South Hall
Date: Tuesday, March 19
Time: 5:30 pm - 6:30 pm
Pass Type: All Access, GDC Conference + Summits, GDC Summits - Get your pass now!
Tutorials: ML Tutorial Day
Vault Recording: Video
Audience Level: All
Deep learning is becoming ubiquitous in machine learning research, and it's also finding it's place in industry related applications. Specifically, deep generative models have proven incredibly useful at generating and remixing realistic content from scratch, making themselves a very appealing technology in the field of AI-enhanced content authoring. In this talk, the speaker will cover, in an accessible manner, the fundamentals of deep generative modelling and some common algorithms and architectures, such as generative adversarial networks (GANs), variational autoencoders (VAEs), or autoregressive methods. He will also discuss applications to game development and explore some recent advances in the field.
The attendee will gain a basic understanding of the fundamentals of generative models and how to implement them. Also, attendees will grasp potential applications in the field game development to inspire their work and companies.
The talk does not require a mathematical or machine learning background, although previous knowledge on either of those is beneficial. Some mathematical concepts will be introduced, though in an accessible manner.