romerocesar
Re:Outlook is down, and so is Microsoft's status page
on Thursday November 12, 2026 @07:13PM (#50476366)
the footer says 2025 msft corporation. smh
Re:Bear turns 10, and it still feels like day one
on Tuesday November 03, 2026 @02:56PM (#50357305)
so you replaced obsidian with a version of obsidian without sync?
Re:What shall I teach my son?
on Tuesday October 20, 2026 @07:22PM (#50174063)
teach him to be resilient, and emphasize learning how to learn.
Re:Introducing Unity Machine Learning Agents
on Tuesday September 19, 2017 @02:36PM (#15287518)
this enables RL research that supports multi-agent environments, multiple views (cameras) and doesn't need to pick between physics or graphics because a game engine can do both! this is cool
Re:A Ferrari 250 GT PF Coupe Was Hidden in a Hollywood Apartment for D...
on Thursday February 02, 2017 @12:02AM (#13548249)
The world is amazing
Re:Amazon DSSTNE: Deep Scalable Sparse Tensor Network Engine
on Wednesday May 11, 2016 @03:35PM (#11678522)
srsly? all the discussion above 10hrs+ before your comment and that's your question?
RTFM: https://github.com/amznlabs/amazon-dsstne/blob/master/FAQ.md
Re:Amazon DSSTNE: Deep Scalable Sparse Tensor Network Engine
on Tuesday May 10, 2016 @10:08PM (#11672168)
One important difference is model-parallel training. From the FAQ:
DSSTNE instead uses “model-parallel training”, where each layer of the network is split across the available GPUs so each operation just runs faster. Model-parallel training is harder to implement, but it doesn’t come with the same speed/accuracy trade-offs of data-parallel training.
https://github.com/amznlabs/amazon-dsstne/blob/master/FAQ.md