Patent ID: 11922613
Assignee: MICRON TECHNOLOGY, INC.
Field: Measurement (Instruments)
Classification: CPC G  H | IPC G  H

Claim 0:
1. A system, comprising:
an image capturing device configured to capture an image of a wafer;
an inspection system comprising a classification system configured to use a classification convolutional neural network (CNN) comprising multiple convolutional layers to determine a classification from a plurality of classes for the captured image, wherein each of the plurality of classes indicates a type of a defect in the wafer; and
a training system, the training system comprising:
an encoder configured encode a training image of a plurality of training images into a feature vector;
a decoder configured to decode the feature vector into a re-generated image; and
a clustering system configured to cluster the feature vector into a cluster of a plurality of clusters;
a classification training system configured to determine a classification from the plurality of classes for the training image;
wherein the encoder, the clustering system, the decoder and the classification training system are configured to train the classification CNN by repeating operations in one or more iterations to determine weights of the classification CNN.