A resource management system and method for in-depth learning
A resource management system and deep learning technology, applied in neural learning methods, resource allocation, electrical digital data processing, etc., can solve the problems of no life cycle management, increase the mental burden of programmers, training interruption, etc., to save training resources and cost, avoid resource contention and waste, and improve operational efficiency
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[0033] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0034] The purpose of the present invention is to provide a resource management system and method for deep learning to realize the unified scheduling and management of TensorFlow-based deep learning training task resources, monitor the training process, support automatic interruption and restart, and reduce the workload of AI developers. Work load, improve task training efficiency. The principle and implementation of a resource management system and method for deep learning of the present invention will be described in detail below, so that those skilled in the art can understand the technical cont...
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