One of the biggest drivers of failures in IoT is cost. Often, devices are sold at a low fixed price and then have a reoccurring cost for the device manufacturer. There are multiple ways of reducing reoccurring costs. One of these is to offload some of the machine learning compute to the device or application accessing the data. In this recipe, we are going to use TensorFlow.js to offload the expensive compute to the browser of the person looking at the web page.
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You're reading from Artificial Intelligence for IoT Cookbook
Michael Roshak is a cloud architect and strategist with extensive subject matter expertise in enterprise cloud transformation programs and infrastructure modernization through designing, and deploying cloud-oriented solutions and architectures. He is responsible for providing strategic advisory for cloud adoption, consultative technical sales, and driving broad cloud services consumption with highly strategic accounts across multiple industries.
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Michael Roshak is a cloud architect and strategist with extensive subject matter expertise in enterprise cloud transformation programs and infrastructure modernization through designing, and deploying cloud-oriented solutions and architectures. He is responsible for providing strategic advisory for cloud adoption, consultative technical sales, and driving broad cloud services consumption with highly strategic accounts across multiple industries.
Read more about Michael Roshak