Scientists are using machine learning to find new treatments among thousands of old medicines.

Neural networks have been used for modeling the nonlinear characteristics of memoryless nonlinear channels using backpropagation (BP) learning with experimental training data. In order to better ...

In recent years, the ML field has been dominated by what is called the backpropagation algorithm, or backprop, which, Çamsari said, “is basically driving everything right now, but in my lab, we use ...

The backpropagation algorithm computes the gradient of the loss function with respect to the weights. these algorithms are complex and visualizing backpropagation algorithms can help us in ...

BPK-means algorithm flow chart is described by Figure 3. We use the BP neural network attribute completion algorithm to detect missing attributes and by using Data denoising algorithm to process noise ...

Next, we describe the backward propagation for the proposed spike-based backpropagation algorithm. After the forward propagation, the loss function is measured as a difference between target labels ...