Information about Test

  1. Convolutional Deep Belief Networks

    science, Convolutional Deep Belief Network (CDBN) is a type of deep artificial neural network that is composed of multiple layers of convolutional restricted

  2. Long short-term memory

    artificial recurrent neural network (RNN) architecture used in the field of deep learning. Unlike standard feedforward neural networks, LSTM has feedback

  3. Waifu2x

    also supports photos. waifu2x was inspired by Super-Resolution Convolutional Neural Network (SRCNN). It uses Nvidia CUDA for computing, although alternative

  4. Q-learning

    human levels. The DeepMind system used a deep convolutional neural network, with layers of tiled convolutional filters to mimic the effects of receptive fields

  5. Deep Image Prior

    type of convolutional neural network used to enhance a given image with no prior training data other than the image itself. A neural network is randomly

  6. Neocognitron

    pattern recognition tasks, and served as the inspiration for convolutional neural networks. The neocognitron was inspired by the model proposed by Hubel

  7. Ilya Sutskever

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

  8. Yann LeCun

    recognition and computer vision using convolutional neural networks (CNN), and is a founding father of convolutional nets. He is also one of the main creators

  9. 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

  10. Eye tracking

    2017 constructed a Deep Integrated Neural Network (DINN) out of a Deep Neural Network and a convolutional neural network. The goal was to use deep learning