ADAPTIVE NEURAL NETWORK FOR NUCELOTIDE SEQUENCING

This disclosure describes methods, non-transitory computer readable media, and systems that can configure a field programmable gate array (FPGA) or other configurable processor to implement a neural network and train the neural network using the configurable processor by modifying certain network parameters of a subset of the neural network's layers. For instance, the disclosed systems can configure a configurable processor on a computing device to implement a base-calling-neural network (or other neural network) that includes different sets of layers. Based on a set of images of oligonucleotide clusters or other datasets, the neural network generates predicted classes, such as by generating nucleobase calls for oligonucleotide clusters. Based on the predicted classes, the disclosed systems subsequently modify certain network parameters for a subset of the neural network's layers, such by modifying parameters for a set of top layers.