Co-authored-by: nilbuild <4921183+nilbuild@users.noreply.github.com>
772 B
772 B
Deep Learning
Deep learning uses neural networks with many layers to learn hierarchical representations of data. In game development, deep learning is applied to tasks like AI game agents, procedural content generation, animation synthesis, and image upscaling. Its ability to handle raw sensory input like pixels makes it particularly useful for agents that interact with games directly through visual observations.
Visit the following resources to learn more: