Non-smooth regularization in radial artificial neural networks
نویسندگان
چکیده
منابع مشابه
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Research into regularization techniques is motivated by the tendency of neural networks to to learn the specifics of the dataset it was trained on rather than learning general features that are applicable to unseen data. This is known as overfitting. The goal of any supervised machine learning task is to approximate a function that maps inputs to outputs, given a dataset of examples and labels....
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ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2018
ISSN: 1757-899X
DOI: 10.1088/1757-899x/450/4/042010