Information about Test

  1. 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. 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. 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

  4. 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

  5. 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

  6. 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

  7. Deepfake

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

  8. 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

  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. Nvidia

    History | NVIDIA". Retrieved June 13, 2018. "Deep Learning and GPU-Programming Workshops at GTC 2018". NVIDIA. Retrieved June 13, 2018. "Nvidia