A Development Methodology for Deep Learning – Medium

A Development Methodology for #DeepLearning.  #BigData #MachineLearning #DataScience #AI

  • The machine learning convention has been to create a training set, a validation set and a test set.
  • Although Deep Learning is built from software it is a different kind of software and a different kind of methodology is needed.
  • The observations that differs from conventional machine learning is that Deep Learning has more flexibility in that a developer has the additional options of employing either a bigger model or using more data.
  • The methodology addresses the necessary interplay of the need for more training data and the exploration of alternative Deep Learning patterns that drive the discovery of an effective architecture.
  • Deep Learning differs most from traditional software development in that a substantial portion of the process involves the machine learning how to achieve objectives.

The practice of software development has created development methodologies such agile development and lean methodology to tackle the…
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Common Sense in Artificial Intelligence… by 2026?

Common Sense in #ArtificialIntelligence… by 2026?  by @lemire

  • To replace human beings at most jobs, machines need to exhibit what we intuitively call “common sense”.
  • For example, many human beings are illiterate and they can be said to have common sense.
  • Common sense is basic knowledge about how the world of human beings works.
  • For example, if you are lying on the floor yelling “I’m hurt”, common sense dictates that we call emergency services… but it is possible that Apple’s Siri could already be able to do this.
  • If computers could be granted a generous measure of common sense, many believe that they could make better employees than human beings.

Read the full article, click here.


@kdnuggets: “Common Sense in #ArtificialIntelligence… by 2026? by @lemire”


An insightful opinion piece on the future of common sense in AI. A recommended read by an authority in the field.


Common Sense in Artificial Intelligence… by 2026?