In our latest release, version 0.9.2.30, we now support the ResNet-56 model trained on CIFAR-10 as described by [1], and do so with the newly released CUDA 9.2/cuDNN 7.1.4.
To try this out yourself, just follow the easy steps in the new ResNet tutorial!
New Features
- New CUDA 9.2 support (requires driver 397.93 or above)
- New cuDNN 7.1.4 support.
- Easily switch between CUDA 9.2 and CUDA 9.1.
- New ResNet-56 support with new model and solver templates.
- Added ability to print models to image using Save As and selecting the Model image files (*.png) type.
- Easily apply the settings of one node to all others like it in the Model Editor by right clicking the node and selecting the Apply Settings menu item.
Bug Fixes
- New bug fixes in the BATCHNORM layer.
- Solvers now correctly support blobs with no diff.
- Previous stability issues now appear resolved (by NVIDIA) in latest NVIDIA 397.93 driver. We now recommend using the 397.93 driver or later.
Happy ‘deep’ learning!
References
[1] Yihui He, ResNet 20 32 44 56 110 for CIFAR10 with caffe. GitHub, 2016.