Making sure a small number of images don’t account for a large percentage of training helps against data poisoning and is also important for getting a useful machine learning model in the first ...

Researchers have determined how to build reliable machine learning ... "Using a simple model, you might be able to enforce some of the physics that you already know into the training data set ...

the end result of training a particular algorithm on particular training data is a machine learning model. The model represents what the machine has learned for a particular task. People seem to ...

Whether we refer to this field as "complex information processing" or "artificial intelligence" (or the more ominously Skynet-sounding "machine learning ... training and evaluating the model ...

Moreover, the learning environment for a neural network is defined in the document as requiring the ability to train the machine ... training process influences the output, from data and model ...

The validation dataset is a separate dataset that is not used in the training process. By checking the machine learning model’s performance on this validation dataset, developers can ensure that ...