Information about Test

  1. Deep learning

    aimlexchange.com/search/wiki/page/Deep_learning

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

  2. Deep reinforcement learning

    aimlexchange.com/search/wiki/page/Deep_reinforcement_learning

    Deep reinforcement learning (DRL) uses deep learning and reinforcement learning principles to create efficient algorithms applied on areas like robotics

  3. 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

  4. 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

  5. Q-learning

    aimlexchange.com/search/wiki/page/Q-learning

    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. Machine learning

    aimlexchange.com/search/wiki/page/Machine_learning

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

  7. Deepfake

    aimlexchange.com/search/wiki/page/Deepfake

    Deepfakes (a portmanteau of "deep learning" and "fake") are synthetic media in which a person in an existing image or video is replaced with someone else's

  8. Artificial neural network

    aimlexchange.com/search/wiki/page/Artificial_neural_network

    recognition problems, which became known as "deep learning".{{@book{Goodfellow-et-al-2016, title={Deep Learning}, author={Ian Goodfellow and Yoshua Bengio

  9. Deep Learning Studio

    aimlexchange.com/search/wiki/page/Deep_Learning_Studio

    Deep Learning Studio is a software tool that aims to simplify the creation of deep learning models used in artificial intelligence. It is compatible with

  10. Reinforcement learning

    aimlexchange.com/search/wiki/page/Reinforcement_learning

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

Contents