braindecode.models.HybridNet#
- class braindecode.models.HybridNet(in_chans, n_classes, input_window_samples)[source]#
Hybrid ConvNet model from Schirrmeister et al 2017.
See [Schirrmeister2017] for details.
References
- Schirrmeister2017
Schirrmeister, R. T., Springenberg, J. T., Fiederer, L. D. J., Glasstetter, M., Eggensperger, K., Tangermann, M., Hutter, F. & Ball, T. (2017). Deep learning with convolutional neural networks for EEG decoding and visualization. Human Brain Mapping , Aug. 2017. Online: http://dx.doi.org/10.1002/hbm.23730
Methods
- forward(x)[source]#
Forward pass.
- Parameters
x (torch.Tensor) – Batch of EEG windows of shape (batch_size, n_channels, n_times).