Information about Test

  1. Support vector machine

    for Multiclass Support Vector Machines" (PDF). IEEE Transactions on Neural Networks. 13 (2): 415–25. doi:10.1109/72.991427. PMID 18244442. Platt, John;

  2. Data science

    Artificial neural network Autoencoder Deep learning DeepDream Multilayer perceptron RNN LSTM GRU Restricted Boltzmann machine GAN SOM Convolutional neural network

  3. SpaCy

    learning library Thinc. Using Thinc as its backend, spaCy features convolutional neural network models for part-of-speech tagging, dependency parsing, text categorization

  4. Reinforcement learning

    for reinforcement learning in neural networks". Proceedings of the IEEE First International Conference on Neural Networks. CiteSeerX

  5. Ilya Sutskever

    He is the co-inventor with Alexander Krizhevsky of AlexNet, a convolutional neural network. He invented Sequence to Sequence Learning, together with Oriol

  6. Supervised learning

    Geman, E. Bienenstock, and R. Doursat (1992). Neural networks and the bias/variance dilemma. Neural Computation 4, 1–58. G. James (2003) Variance and

  7. Conference on Neural Information Processing Systems

    in 1986 as NIPS at the annual invitation-only Snowbird Meeting on Neural Networks for Computing organized by The California Institute of Technology and

  8. 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

  9. Convolutional deep belief network

    science, a convolutional deep belief network (CDBN) is a type of deep artificial neural network composed of multiple layers of convolutional restricted

  10. EEG analysis

    Dynamical system Chaos theory Artificial neural network Deep learning Convolutional neural network Recurrent neural network Machine learning Artificial intelligence