CPC G06V 10/82 (2022.01) [G06F 17/18 (2013.01); G06F 18/2113 (2023.01); G06F 18/25 (2023.01); G06F 18/29 (2023.01); G06N 3/045 (2023.01); G06V 10/764 (2022.01); G06V 10/771 (2022.01); G06V 10/80 (2022.01); G06V 20/56 (2022.01); G06V 40/10 (2022.01)] | 20 Claims |
1. A vehicle, comprising:
a computer system, wherein the computer system:
generates a directed acyclic graph representing at least a partial union of respective architectures associated with multiple trained networks, each of the multiple trained networks being associated with a respective task and the directed acyclic graph being associated with multiple tasks relating to the multiple trained networks;
defines a joint objective for the direct acyclic graph; and
converges the joint objective for the multiple tasks over the direct acyclic graph; and
a controller device, wherein the controller device:
receives the directed acyclic graph from the computer system; and
performs autonomous operations controlling the vehicle based on machine learning associated with the directed acyclic graph.
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