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NeuPy is the Artificial Neural Network library implemented in Python.

Project description

Travis

NeuPy v0.2.0

Installation

$ pip install neupy

Tutorials

Dependencies

  • Python 2.7, 3.4

  • Theano >= 0.7.0

  • NumPy >= 1.9.0

  • SciPy >= 0.14.0

  • Matplotlib >= 1.4.0

Next steps

  • Adding convolutional neural network layers (Issue #56)

  • Adding reccurent neural network layers (Issue #57)

  • Bug fixing and version stabilization (Known bugs)

  • Speeding up algorithms

  • Adding more algorithms

Algorithms

  • Algorithms that use Backpropagation training approach

    • Classic Gradient Descent

    • Mini-batch Gradient Descent

    • Conjugate Gradient

      • Fletcher-Reeves

      • Polak-Ribiere

      • Hestenes-Stiefel

      • Conjugate Descent

      • Liu-Storey

      • Dai-Yuan

    • quasi-Newton with Wolfe search

      • BFGS

      • DFP

      • PSB

      • SR1

    • Levenberg-Marquardt

    • Hessian (Newton’s method)

    • Hessian diagonal

    • Momentum

    • Nesterov Momentum

    • RPROP

    • iRPROP+

    • QuickProp

    • Adadelta

    • Adagrad

    • RMSProp

    • Adam

    • AdaMax

  • Algorithms that penalize weights

    • Weight Decay

    • Weight Elimination

  • Algorithms that update learning rate

    • Adaptive Learning Rate

    • Error difference Update

    • Linear search using Golden Search or Brent

    • Search than converge

    • Simple Step Minimization

  • Ensembles

    • Mixture of Experts

    • Dynamically Averaged Network (DAN)

  • Neural Networks with Radial Basis Functions (RBFN)

    • Generalized Regression Neural Network (GRNN)

    • Probabilistic Neural Network (PNN)

    • Radial basis function K-means

  • Autoasociative Memory

    • Discrete BAM Network

    • CMAC Network

    • Discrete Hopfield Network

  • Competitive Networks

    • Adaptive Resonance Theory (ART1) Network

    • Self-Organizing Feature Map (SOFM or SOM)

  • Linear networks

    • Perceptron

    • LMS Network

    • Modified Relaxation Network

  • Associative

    • OJA

    • Kohonen

    • Instar

    • Hebb

Project details


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