Deep Learning May Soon Assist Pro Football Coaches

An Oregon State University professor is training his GPU-accelerated neural network to understand and coach football.

“AI will revolutionize sports,” said Alan Fern, lead researcher and computer science professor at Oregon State University.

Using CUDA, Tesla K80 GPUs, and the cuDNN versions of Caffe and Torch deep learning frameworks, Fern trained his model on video of Oregon State football plays and hundreds of hours of high school football to detect the snap, the difference between kicking, passing and running plays, and whether a team is on offense or defense.


With this knowledge, Fern is hoping the algorithm will allow coaches, analysts, and fans to easily pose queries against libraries of football video for indexing and collecting statistics – such as a head coach being able to see the best matchups between receivers and cornerbacks or to measure the contribution of each player to every play.


About Brad Nemire

Brad Nemire
Brad Nemire is on the Developer Marketing team and loves reading about all of the fascinating research being done by developers using NVIDIA GPUs. Reach out to Brad on Twitter @BradNemire and let him know how you’re using GPUs to accelerate your research. Brad graduated from San Diego State University and currently resides in San Jose, CA. Follow @BradNemire on Twitter