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2. Errorless learning - Wikipedia

   en.wikipedia.org/wiki/Errorless_learning

   The errorless learning procedure is highly effective in reducing the number of responses to the S− during training. In Terrace's (1963) experiment, subjects trained with the conventional discrimination procedure averaged over 3000 S− (errors) responses during 28 sessions of training; whereas subjects trained with the errorless procedure averaged only 25 S− (errors) responses in the same ...

3. Comparison of deep learning software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_deep...

   MATLAB + Deep Learning Toolbox (formally Neural Network Toolbox) MathWorks: 1992 Proprietary: No Linux, macOS, Windows: C, C++, Java, MATLAB: MATLAB: No No Train with Parallel Computing Toolbox and generate CUDA code with GPU Coder [23] No Yes [24] Yes [25] [26] Yes [25] Yes [25] Yes With Parallel Computing Toolbox [27] Yes Microsoft Cognitive ...

4. Data-driven learning - Wikipedia

   en.wikipedia.org/wiki/Data-driven_learning

   Data-driven learning (DDL) is an approach to foreign language learning. Whereas most language learning is guided by teachers and textbooks, data-driven learning treats language as data and students as researchers undertaking guided discovery tasks. Underpinning this pedagogical approach is the data - information - knowledge paradigm (see DIKW ...

5. Four stages of competence - Wikipedia

   en.wikipedia.org/wiki/Four_stages_of_competence

   In psychology, the four stages of competence, or the "conscious competence" learning model, relates to the psychological states involved in the process of progressing from incompetence to competence in a skill. People may have several skills, some unrelated to each other, and each skill will typically be at one of the stages at a given time.

6. AlphaZero - Wikipedia

   en.wikipedia.org/wiki/AlphaZero

   State-of-the-art programs are based on powerful engines that search many millions of positions, leveraging handcrafted domain expertise and sophisticated domain adaptations. AlphaZero is a generic reinforcement learning algorithm – originally devised for the game of go – that achieved superior results within a few hours, searching a ...

7. Domain-general learning - Wikipedia

   en.wikipedia.org/wiki/Domain-general_learning

   Domain-general learning theories are in direct opposition to domain-specific learning theories, also sometimes called theories of Modularity. Domain-specific learning theories posit that humans learn different types of information differently, and have distinctions within the brain for many of these domains.