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Thanks @jorgemf. Keep in mind that $745 also includes unlimited usage of our hyper-parameter optimization service.

• XnoiVeX 9y ago
  Are there any similarities or distinctions between this article (link below) and how your system works to tune hyper-parameters? https://blog.coast.ai/lets-evolve-a-neural-network-with-a-genetic-algorithm-code-included-8809bece164 https://blog.coast.ai/lets-evolve-a-neural-network-with-a-ge...
  • gidim 9y ago
    This article seems to discuss genetic algorithms which could be used for hyperparam optimization. We use another method called Bayesian (GP) hyperparam optimization. According to our internal benchmarks and academic research Bayesian methods outperform genetic algorithms. Another thing to keep in mind that we automate the entire process for you. You only need to provide a list of parameters you'd like to tune.
• maksimum 9y ago
  Is hyper-parameter optimization a cherry on top or one of the core value propositions? IME hyper-parameter optimization doesn't require much in terms of implementation effort (e.g. [1]), but requires compute. I would be surprised if a professional ML/DS user were to seriously consider paying for the implementation of the optimization. [1] https://people.eecs.berkeley.edu/~kjamieson/hyperband.html https://people.eecs.berkeley.edu/~kjamieson/hyperband.html
• jorgemf 9y ago
  That service doesn't justify the price tag for me.