Patent ID: 11961593
Assignee: ILLUMINA, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. The neural network-implemented method of claim 3, further including:
obtaining training data for training the neural network,
wherein the training data includes a plurality of training examples and corresponding ground truth data,
wherein each training example includes image data from a sequence of image sets,
wherein each image in the sequence of image sets represents a tile of a flow cell and depicts intensity emissions of analytes on the tile and their surrounding background captured for a particular image channel at a particular one of a plurality of sequencing cycles of a sequencing run performed on the flow cell, and
wherein each ground truth data identifies properties of respective portions of the plurality of training examples; and

using a gradient descent training technique to train the neural network and generating outputs for the plurality of training examples that progressively match the corresponding ground truth data, including iteratively:
optimizing a loss function that minimizes error between the outputs and the corresponding ground truth data; and
updating parameters of the neural network based on the error.