New answers tagged optimization
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ML/NN as Function Evaluator for further Optimization (maximization) - Practical Example
it depends on size=2000 - increasing size dicreases speed of SciPy's optimization, tensorflow still will have flat speed... ...
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Understanding the stochastic average gradient (SAG) algorithm used in sklearn
Yes, this is accurate. There are two fixes to this issues
Instead of initializing y_i =0, instead spend one pass over the data and initialize ...
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Which machine learning models are rational to use on NP-hard and NP-complete "theoretical" problems?
Is there any point in using machine learning algorithms on these "well-defined" NP-hard problems (instead of using dynamical programming)?
In short, yes. Consider that for whatever problem ...
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