Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

Bias can creep in at many stages of the deep-learning process, and the standard practices in computer science aren’t designed to detect it.

QPSO-LSTM model has some hyperparameters to ... time series data. Compared with RNN, LSTM has not been used to screen the information of previous moments. As a kind of deep learning algorithm for ...

This is Google’s animated illustration of how tensors flow from node to node through the edges of a data flow graph. TensorFlow currently runs on Ubuntu Linux, MacOS, Android, iOS, and Raspberry ...

Next, based upon the flow chart of the map-based localization algorithm, a localizability predictor, which is composed of three different models, is designed to predict the entropy. Here a ...

M.J. Sun, Z.Q. Zhou, Q. H. Hu, and Z. Wang, SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection, IEEE Transactions on Cybernetics - ZZQzzq/SG-FCN Skip to content ...