Choosing the right compute options for your training job

It is important to choose the right compute options for a training job in order to optimally utilize the platform resources. This results in minimizing the training time and the cost. We need to set runtime attributes for the training job. A training job is a standard object on the AI Platform. The structure of the training job is as follows (input parameters are highlighted in bold font—please find the complete configuration at this link: https://github.com/PacktPublishing/Hands-On-Artificial-Intelligence-on-Google-Cloud-Platform):

{  "jobId": string,               //Required: user defined identifier for the job  "createTime": string,          //Output Parameter: indicates when a job was created   "labels": ...

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