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Angela, an it staff member at acme inc., notices that communication with the company’s web server is very slow
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This means making your model smaller and simpler, possibly by inserting a pooling layer at the front, or reducing the total number of layers From a memory perspective, this isn't likely to produce really large gains though Stream your data in each epoch By default, the entire training set will be stored on the gpu.
Elements to scale to a larger network include budget, device inventory, network documentation, and traffic analysis.
Two adjacent edges with different orientations are a corner What is your knowledge of rnns and cnns
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