Dataset Groups Activity Stream Breast Cancer A neural network with single-hidden layer of 64 hidden units and ReLU activations. A prior precision of ε = 1, a minibatch size of 128 and 16 Monte-Carlo samples are used for all runs. BibTex: @dataset{Naima_Chouikhi_and_Boudour_Ammar_and_Adel_M_Alimi_2024, abstract = {A neural network with single-hidden layer of 64 hidden units and ReLU activations. A prior precision of ε = 1, a minibatch size of 128 and 16 Monte-Carlo samples are used for all runs.}, author = {Naima Chouikhi and Boudour Ammar and Adel M. Alimi}, doi = {10.57702/sb9jd875}, institution = {No Organization}, keyword = {'Binary Classification', 'Breast Cancer', 'Deep Learning', 'Deep learning', 'Image Classification', 'Medical Imaging', 'Neural Networks'}, month = {dec}, publisher = {TIB}, title = {Breast Cancer}, url = {https://service.tib.eu/ldmservice/dataset/breast-cancer}, year = {2024} }