Along with mini-batch, convolution can be used for data mining before training. Both techniques are intended to reduce the size of training data. The mini-batch reduces the sample set size vertically, ie taking a small number of samples. The convolution reduces the sample set size by width, ie, narrowing the number of feature columns, reducing … Đọc tiếp Neural network: Data mining with Convolution

Local minima is also a controversial issue. A theoretical proof (Hornik 1989) under strong assumptions with the conclusion that the neural network has no local minima is rejected by experimentation on the real model with finite sample set. In this article we will analyze the problem in a different direction with conclusive conclusion: The neural … Đọc tiếp Neural network: Local minima

Random Number Generator is an important factor of security activity to create cryptographic keys and passwords. We already know that the rand() function is a simple pseudo-random number generator. It returns a pseudo-random integer in the range 0 to RAND_MAX, ie, the mathematical range [0, RAND_MAX]. You can use rand() to define your own function … Đọc tiếp Cybersecurity: Unpredictable Random Number Generator