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.

0:00 Starting soon
1:45 Livestream start/Intros
4:07 PyTorch Monogenic ConvNet Layer Presentation
37:33 Presentation Recap
38:20 Q&As

------- Project Links -------

------- Social Accounts -------

[jonathansum]

Thank you for sharing. Thank you for sharing the new tech, so we can use it in Pytorch.
I hope there will be a notebook and guide us to build the Monogenic ConvNet part by part.

[palyashuk]

How to import this "layers" module from pytorch??
This code
import torch.nn as nn
from layers.monogenic import Monogenic

returns an error: ModuleNotFoundError: No module named 'layers'