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. 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. 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

  5. PyTorch

    open-source software portal Comparison of deep learning software Differentiable programming Torch (machine learning) Tensor Yegulalp, Serdar (19 January 2017)

  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. 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

  8. Datasets.load

    there is also a Graphical User Interface for the RStudio Integrated Development Environment, using RStudio Addins. The initial release of version 0.1

  9. Outline of machine learning

    expression programming Group method of data handling (GMDH) Inductive logic programming Instance-based learning Lazy learning Learning Automata Learning Vector

  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