PyTorch Community Voices | Pytorch Monogenic ConvNet Layer | Ulises & Abraham
Join us for an interview with star PyTorch community members Ulises Moya Sánchez and Abraham Sánchez of Gobierno de Jalisco to discuss their work on a Pytorch Monogenic ConvNet Layer. This layer draws inspiration from a mammal’s primary visual area and allows standard convolutional neural networks to accurately train on images that may be degraded by brightness or contrast changes.
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Ulises Moya Sánchez:
Ulises Cortés:
Suraj Subramanian:
Jessica Lin:
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