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SPLIT ARCHITECTURE FOR ARTIFICIAL INTELLIGENCE-BASED BASE CALLER

机译:基于人工智能的基础呼叫者的分离架构

摘要

The technology disclosed relates to a system that comprises a spatial convolution network and a bus network. The spatial convolution network is configured to process a window of per-cycle sequencing image sets on a cycle-by-cycle basis by separately processing respective per-cycle sequencing image sets through respective spatial processing pipelines to generate respective per-cycle spatial feature map sets for respective sequencing cycles. The bus network is configured to form buses between spatial convolution layers within the respective spatial processing pipelines. The buses are configured to cause respective per-cycle spatial feature map sets generated by two or more spatial convolution layers in a particular sequence of spatial convolution layer for a particular sequencing cycle to combine into a combined per-cycle spatial feature map set, and provide the combined per-cycle spatial feature map set as input to another spatial convolution layer in the particular sequence of spatial convolution layer.
机译:所公开的技术涉及包括空间卷积网络和总线网络的系统。空间卷积网络被配置为通过单独处理各个空间处理流水线以生成各个空间处理流水线以生成各个周期空间特征映射集,从周期逐行地处理每周循环排序图像集的窗口。用于各自的测序周期。总线网络被配置为在各个空间处理管道内的空间卷积层之间形成总线。总线被配置为原因在特定的空间卷积层中由两个或更多个空间卷积层产生的各个循环空间特征映射集,用于特定的测序周期以组合成组合的每循环空间特征图集,并提供组合的每循环空间特征图设置为在空间卷积层的特定序列中的另一个空间卷积层的输入。

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