References:
Uber: deep learning for self-driving, trip forecasting, fraud prevention.
Michelangelo[c3], an internal ML-as-a-service platform, deploying ML systems at scale.
Horovod, an open-source component of Michelangelo’s deep learning toolkit which makes it easier to start – and speed up – distributed deep learning projects with TensorFlow.
As datasets grew, so did the training times, which sometimes took a week or longer to complete. Need a way to train using a lot of data while maintaining short training times.
No related work???
If you could revise
the fundmental principles of
computer system design
to improve security...
... what would you change?