romerocesar's comments

romerocesar | 8 years ago | on: Introducing Unity Machine Learning Agents

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

romerocesar | 9 years ago | on: A Ferrari 250 GT PF Coupe Was Hidden in a Hollywood Apartment for Decades

The world is amazing

romerocesar | 9 years ago | on: Amazon DSSTNE: Deep Scalable Sparse Tensor Network Engine

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

romerocesar | 9 years ago | on: Amazon DSSTNE: Deep Scalable Sparse Tensor Network Engine

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