Search results with tag "Deep neural networks"
Sequence to Sequence Learning with Neural Networks
arxiv.orgDeep Neural Networks (DNNs) are extremely powerful machine learning models that achieve ex-cellent performanceon difficult problems such as speech rec ognition[13, 7] and visual object recog-nition [19, 6, 21, 20]. DNNs are powerful because they can perform arbitrary parallel computation for a modest number of steps.
Tensor Comprehensions: Framework-Agnostic High …
arxiv.org1 Introduction Deep neural networks trained with back-propagation learning [52] are a method of choice to solve complex problems with sufficient data.
Neural Networks and Deep Learning - latexstudio
static.latexstudio.netAutomatically learning from data sounds promising. However, until 2006 we didn’t know how to train neural networks to surpass more traditional approaches, except for a few specialized problems. What changed in 2006 was the discovery of techniques for learning in so-called deep neural networks. These techniques are now known as deep learning.