Deep learning has become an indispensable technology in manufacturing, but a significant amount of work must be done up front to validate the system.
Although labor- and time-intensive, validation is critical to ensuring the success of your deep learning deployment. There are four primary phases involved in the process:
This white paper details each phase, providing the guidance you need to optimize deep learning in your manufacturing environment.
ACCÉDEZ AU SUPPORT ET AUX FORMATIONS POUR VOS PRODUITS ET BIEN PLUSRejoindre MyCognex