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FASTESTIMATOR HEALTHCARE AI FRAMEWORK

机译:最快的医疗保健AI框架

摘要

An artificial intelligence platform and associated methods of training and use are disclosed. An example apparatus includes a data pipeline to: preprocess data using one or more preprocessing operations applied to features associated with the data; and enable debugging to visualize the preprocessed data. The example apparatus includes a network to: instantiate one or more differentiable operations in a training configuration to train an artificial intelligence model; capture feedback including optimization and loss information to adjust the training configuration; and store one or more metrics to evaluate performance of the artificial intelligence model. The example apparatus includes an estimator to: store the training configuration for the artificial intelligence model; configure the pipeline and the network based on the training configuration; iteratively link the pipeline and the network based on the training configuration; and initiate training of the artificial intelligence model using the linked pipeline and network.
机译:公开了一种人工智能平台以及相关的训练和使用方法。一种示例装置,包括数据流水线,以:使用应用于与数据相关联的特征的一个或多个预处理操作来预处理数据;以及并启用调试以可视化预处理的数据。该示例装置包括:用于在训练配置中实例化一个或多个可区分的操作以训练人工智能模型的网络;以及用于训练人工智能模型的网络。捕获包括优化和损失信息的反馈以调整训练配置;并存储一个或多个指标以评估人工智能模型的性能。该示例装置包括估计器,其用于:存储用于人工智能模型的训练配置;以及根据训练配置配置管道和网络;根据训练配置迭代地链接管道和网络;并使用链接的管道和网络启动对人工智能模型的训练。

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