[Click on image for larger view.] Figure 1: LightGBM Multi-Class Classification in Action. There are 200 items in the training dataset and 40 items in a test dataset. Each line represents a person.

[Click on image for larger view.] Figure 1: Multi-Class Classification Using a scikit Neural Network After training, the model is applied to the training data and the test data. The model scores 87.50 ...

Researchers have developed a new high-speed way to detect the location, size and category of multiple objects without acquiring images or requiring complex scene reconstruction. Because the new ...