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. 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

  3. Torch (machine learning)

    aimlexchange.com/search/wiki/page/Torch_%28machine_learning%29

    for deep learning, and uses the scripting language LuaJIT, and an underlying C implementation. As of 2018, Torch is no longer in active development. However

  4. PyTorch

    aimlexchange.com/search/wiki/page/PyTorch

    polished and the primary focus of development, PyTorch also has a C++ interface. A number of pieces of Deep Learning software are built on top of PyTorch

  5. Artificial neural network

    aimlexchange.com/search/wiki/page/Artificial_neural_network

    Cultured neuronal networks Deep learning Encog Fuzzy logic Gene expression programming Genetic algorithm Genetic programming Group method of data handling

  6. OpenNN

    aimlexchange.com/search/wiki/page/OpenNN

    software library written in the C++ programming language which implements neural networks, a main area of deep learning research. The library is open-source

  7. 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

  8. 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

  9. TensorFlow

    aimlexchange.com/search/wiki/page/TensorFlow

    dataflow and differentiable programming across a range of tasks. It is a symbolic math library, and is also used for machine learning applications such as neural

  10. Machine learning

    aimlexchange.com/search/wiki/page/Machine_learning

    logic program that entails all positive and no negative examples. Inductive programming is a related field that considers any kind of programming languages

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