feature-extractors

There are 4 repositories under feature-extractors topic.

  • IBM/gfmn

    Pytorch code for "Learning Implicit Generative Models by Matching Perceptual Features", ICCV 2019

    Language:Python15628

  • AkhilSinghRana/SignalClassification-UsingCNNs

    The project is to train and evaluate the reliability of using CNNs, in classifying, different Signals.

    Language:Jupyter Notebook3201

  • pouryahoseini/Convolutional-Stacking-Network

    A deep convolutional network made of stacked feature extractors

    Language:Python0101

  • Ishan-Kotian/Nerual-Network_Image-Data

    A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. In this sense, neural networks refer to systems of neurons, either organic or artificial in nature. Neural networks can adapt to changing input; so the network generates the best possible result without needing to redesign the output criteria.

    Language:Jupyter Notebook10