Returns a list of bytestrings each of length 64

returns a square zero-matrix of dimension NxN

Return sum of square error for error calculation :param data_x : contains our dataset :param data_y : contains the output (result vecto

Calculates the sum of cost function derivative :param index: index wrt derivative is being calculated :param end: value where summation e

Tarjan's algo for finding strongly connected components in a directed graph Uses two main attributes of each node to track reachability, the

r''' Example 8 / \ 3 10 / \ \ 1 6 14 /

Perform topolical sort on a directed acyclic graph.

train: @param X: a one dimensional numpy array @param y: a one dimensional numpy array. The contents of y are the la

returns a unit basis vector with a One at index 'pos' (indexing at 0)

K-Means Clustering using TensorFlow. 'vectors' should be a n*k 2-D NumPy array, where n is the number of vectors of dimensionality k.

input: other vector assumes: other vector has the same size returns a new vector that represents the sum.

implements the matrix-addition.

common connected layer of bp network :param units: numbers of neural units :param activation: activation function :pa

:param conv1_get: [a,c,d]，size, number, step of convolution kernel :param size_p1: pooling size :param bp_num1: units number

Inititates the variables data and h. h is a list of 5 8-digit Hexadecimal numbers corresponding to (1732584193, 4023233417, 256238310

input: components or nothing simple constructor for init the vector

simple constructor for initialzes the matrix with components.