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pro vyhledávání: '"Oswal, Yug"'
Autor:
Noel, Mathew Mithra, Oswal, Yug
This paper introduces a significantly better class of activation functions than the almost universally used ReLU like and Sigmoidal class of activation functions. Two new activation functions referred to as the Cone and Parabolic-Cone that differ dra
Externí odkaz:
http://arxiv.org/abs/2405.04459
Autor:
Noel, Mathew Mithra, Banerjee, Arindam, Oswal, Yug, D, Geraldine Bessie Amali, Muthiah-Nakarajan, Venkataraman
All machine learning algorithms use a loss, cost, utility or reward function to encode the learning objective and oversee the learning process. This function that supervises learning is a frequently unrecognized hyperparameter that determines how inc
Externí odkaz:
http://arxiv.org/abs/2303.09935