References

Function Summary

Static Public Function Summary
public	dropoutLayer(layer: Matrix, pDropout: number): Matrix Randomly drop values from a layer.
public	norm(mu: number, sigma: number): number Return a sample from a normal distribution.
public	randn(rows: number, cols: number): Matrix Return a matrix, all of whose element are sampled from the standard normal distribution.
public	sigmoidPrime(z: Matrix): Matrix Derivative of the sigmoid function.
public	vectorizedResult(j: number): Matrix Return a 10-dimensional unit vector with a 1.0 in the j'th position and zeroes elsewhere. This is used to convert a digit (0...9) into a corresponding desired output from the neural network.