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PyTorch Community Voices | Pytorch Monogenic ConvNet Layer | Ulises & Abraham

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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. ------- Project Links ------- Poster: Paper: Github: ------- Social Accounts ------- Ulises Moya Sánchez: Ulises Cortés: Suraj Subramanian: Jessica Lin: PyTorch: Facebook Open Source Twitter:

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