documentation

Contents:

• nillanet module
  • NN
    • NN.W
    • NN.batch()
    • NN.predict()
    • NN.summary()
    • NN.train()
  • Activations
    • Activations.linear()
    • Activations.linear_derivative()
    • Activations.relu()
    • Activations.relu_derivative()
    • Activations.sigmoid()
    • Activations.sigmoid_derivative()
    • Activations.softmax()
    • Activations.softmax_derivative()
    • Activations.tanh()
    • Activations.tanh_derivative()
  • Loss
    • Loss.binary_crossentropy()
    • Loss.binary_crossentropy_derivative()
    • Loss.mae()
    • Loss.mae_derivative()
    • Loss.mse()
    • Loss.mse_derivative()
  • IO
    • IO.load()
    • IO.save()
  • Distributions
    • Distributions.arithmetic_distribution()
    • Distributions.linear_distribution()
    • Distributions.logical_distribution()
    • Distributions.sort()
    • Distributions.summation()
  • Initializer
    • Initializer.__init__()
    • Initializer.he()
    • Initializer.normal()
    • Initializer.uniform()
    • Initializer.xavier()
  • Scheduler
    • Scheduler.__init__()
      • Scheduler.sigma
      • Scheduler.steps
    • Scheduler.constant()
    • Scheduler.cosine()
    • Scheduler.inverse()
    • Scheduler.linear()
    • Scheduler.step()