Information about Test

  1. 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

    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)

    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

    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

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

  6. 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

    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

    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

    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

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