Information about Test

  1. AlexNet

    AlexNet is the name of a convolutional neural network, designed by Alex Krizhevsky, and published with Ilya Sutskever and Krizhevsky's PhD advisor Geoffrey

  2. Unsupervised learning

    detection Local Outlier Factor Neural Networks Autoencoders Deep Belief Nets Hebbian Learning Generative adversarial networks Self-organizing map Approaches

  3. Transformer (machine learning model)

    computation. Autoregressive convolutional neural networks can handle long-range dependencies through dilated convolutions such that the path length is

  4. Multilayer perceptron

    artificial neural network (ANN). The term MLP is used ambiguously, sometimes loosely to refer to any feedforward ANN, sometimes strictly to refer to networks composed

  5. Spiking neural network

    media Play media Spiking neural networks (SNNs) are artificial neural networks that more closely mimic natural neural networks. In addition to neuronal

  6. Kunihiko Fukushima

    1980, Fukushima published the neocognitron, the original deep convolutional neural network (CNN) architecture. Fukushima proposed several supervised and

  7. Neural machine translation

    decoder, that is used to predict words in the target language. Convolutional Neural Networks (Convnets) are in principle somewhat better for long continuous

  8. SpaCy

    available as a separate open-source Python library. It features convolutional neural network models for part-of-speech tagging, dependency parsing and named

  9. Neural architecture search

    Neural architecture search (NAS) is a technique for automating the design of artificial neural networks (ANN), a widely used model in the field of machine

  10. Machine learning in video games

    and run on. Convolutional neural networks (CNN) are specialized ANNs that are often used to analyze image data. These types of networks are able to learn