A maskrcnn-benchmark-like SSD implementation, support customizing every component! And EfficientNet-B3 backbone is support now! Details can be found on GitHub: https://t.co/VfnlPCKfcI . @PyTorch@fvsmassa
I'm very happy to announce the 0.3 release of torchvision. It brings several new features, including custom C++/CUDA ops, pre-trained Mask R-CNN models and much more! Check it out at https://t.co/izgRz0UQVV
Plus, training Mask R-CNN is even faster than in maskrcnn-benchmark!
My deep-learning course materials are now updated to PyTorch 1.0.0.
https://t.co/a3AaGEG3Bq
Close to 900 slides! Comments are welcome.
#deeplearning#idiap#epfl#pytorch
[v1.0] : JIT Compiler, Faster Distributed, C++ Frontend, CUDA10
Read more about the changes at https://t.co/Xfrad06NZO
As always, get the install commands on https://t.co/DeaBDSRxs8
ResNet-50 on ImageNet now (allegedly) down to 224sec (3.7min) https://t.co/3Z77Edfj0u using 2176 V100s. Increasing batch size schedule, LARS, 5 epoch LR warmup, synch BN without mov avg. (mixed) fp16 training. "2D-Torus" all-reduce on NCCL2, with NVLink2 & 2 IB EDR interconnect