{"id":"W1665214252","doi":"","title":"Rectified Linear Units Improve Restricted Boltzmann Machines","year":2010,"lang":"en","type":"article","venue":"International Conference on Machine Learning","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":13244,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Boltzmann machine; Binary number; Sigmoid function; Computer science; Object (grammar); Restricted Boltzmann machine; Artificial intelligence; Inference; Pattern recognition (psychology); Feature (linguistics); Cognitive neuroscience of visual object recognition; Algorithm; Mathematics; Computer vision; Deep learning; Arithmetic; Artificial neural network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null}