Open anssiko opened 5 years ago
Moved from: https://github.com/webmachinelearning/charter/issues/6
Back-propagation is a fairy simple training algorithm and if provided only for basic operation blocks ("core1" domain as I mentioned in phasing issue ) then it shouldn't require significant effort to implement and test it on vendors site.
Benefits seems sort of obvious, but lets briefly list what comes to my mind quickly:
The current charter states in its out of scope section:
As a follow-up to the F2F discussions, this issue is to track and discuss respective platform APIs that enable training capabilities with a view on future development needs of the Web Neural Network API. Should all major platform APIs gain similar training capabilities, the group has an option to amend its scope in the future subject to adequate support from the group.
The group has made the following commitment in scope of work with respect to platform support: