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  1. Deep learning

    aimlexchange.com/search/wiki/page/Deep_learning

    Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial

  2. Deeper learning

    aimlexchange.com/search/wiki/page/Deeper_learning

    In U.S. education, deeper learning is a set of student educational outcomes including acquisition of robust core academic content, higher-order thinking

  3. Comparison of deep-learning software

    aimlexchange.com/search/wiki/page/Comparison_of_deep-learning_software

    compares notable software frameworks, libraries and computer programs for deep learning. Licenses here are a summary, and are not taken to be complete statements

  4. Deep reinforcement learning

    aimlexchange.com/search/wiki/page/Deep_reinforcement_learning

    Deep reinforcement learning (DRL) uses deep learning and reinforcement learning principles in order to create efficient algorithms that can be applied

  5. Q-learning

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    Q-learning algorithm. In 2014 Google DeepMind patented an application of Q-learning to deep learning, titled "deep reinforcement learning" or "deep Q-learning"

  6. Artificial neural network

    aimlexchange.com/search/wiki/page/Artificial_neural_network

    particularly in image and visual recognition problems, which became known as "deep learning".[citation needed] Ciresan and colleagues (2010) showed that despite

  7. Machine learning

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    hearing. Some successful applications of deep learning are computer vision and speech recognition. Decision tree learning uses a decision tree as a predictive

  8. Deepfake

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    Deepfakes (a portmanteau of "deep learning" and "fake") are media that take a person in an existing image or video and replace them with someone else's

  9. Deep belief network

    aimlexchange.com/search/wiki/page/Deep_belief_network

    In machine learning, a deep belief network (DBN) is a generative graphical model, or alternatively a class of deep neural network, composed of multiple

  10. Reinforcement learning

    aimlexchange.com/search/wiki/page/Reinforcement_learning

    reward. Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning. It differs from supervised

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