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Patent drawing for Neural network construction method and apparatus
US 20,230,089,380 A1
Machine learning US 20,230,089,380 A1 Not in force

Neural network construction method and apparatus

This describes a way to automatically build a neural network that performs well. It starts with a basic network and repeatedly modifies it by trying out different changes from a predefined set of options. Each modified network is then trained, and if it meets certain performance goals, it becomes the final, optimized network; otherwise, the process continues with further modifications until a suitable network is found.

Why it matters: Filed before advanced AutoML and Neural Architecture Search became mainstream. The method's iterative network design is now more efficient and relevant given current AI model complexity and computational resources.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedSoftware logic, AI algorithms, computational resources

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