exercise:A526484cda

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\newcommand{\foldsize}{B} \newcommand{\nriter}{R} [/math]

The “ImageNet” database contains more than [math]10^{6}[/math] images . These images are labeled according to their content (e.g., does the image show a dog?) and stored as a file of size at least [math]4[/math] kilobytes.

We want to learn a classifier that allows to predict if an image shows a dog or not. To learn this classifier we run gradient descent (GD) for logistic regression on a small computer that has [math]32[/math] kilobytes memory and is connected to the internet with bandwidth of [math]1[/math] Mbit/s. Therefore, for each single GD update it must essentially download all images in ImageNet.

How long would such a single GD update take ?