Assertion: descent's problem | /r/CapableOf | include choosing proper learning rate
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text: Overall problems with gradient descent include choosing a proper learning rate so that we avoid slow convergence at small values, or divergence at larger values and applying the same learning rate to all parameter updates wherein if the data is sparse we might not want to update all of them to the same extent.