If you are interested in learning more about training robots using machine learning techniques and technologies you might be interested in a new Arduino project to ascertain whether a basic robot ...

Once the neural network was trained, the model was sent back to the Arduino which is now capable ... that resembles an old windmill. Using machine learning to help predict the weather is starting ...

Controlled by an Arduino Uno, the robot uses a Slamtec ... to help create a data set that could be used to train a machine learning model. Feature selection techniques were used to refine down ...

Machine Learning (ML) doesn’t just learn, it needs training… and there’s no ML training without a ML training model. The so who’s doing the training and who’s building the models?

The result is a machine learning framework that is easier to work with—for example, by using the relatively simple Keras API for model training—and more performant. Distributed training is ...

A neural field network can create a continuous 3D model ... of machine learning system that learns a mapping from spatial coordinates to the corresponding physical quantities. When the training ...

Missing data, however, means that the data points are unknown. There are several problems in using sparse data to train a machine learning model. If the data is too sparse, it can increase the ...