In 2020-2021, we celebrated that many of the basic ideas behind the deep learning revolution were published three decades ago within fewer than 12 months in our" Annus …
W Farsal, S Anter, M Ramdani - … of the 12th International Conference on …, 2018 - dl.acm.org
Deep learning is a thriving research area with many successful applications in different fields. The article is written with a view to provide a state of the art review of deep learning …
Applications and research of deep learning (DL) are currently active thanks to abundant libraries, which allow non experts to implement algorithms without deep knowledge, and …
Deep learning has entered a period of designing, implementing, and deploying intensive and diverse applications, which are now visible in numerous areas. Successful case studies …
Deep Learning has revolutionized machine learning and artificial intelligence, achieving superhuman performance in several standard benchmarks. It is well-known that deep …
N Ketkar, N Ketkar - Deep Learning with Python: A Hands-on Introduction, 2017 - Springer
Introduction to Deep Learning | SpringerLink Skip to main content Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research Search Cart Book cover …
Despite their massive size, successful deep artificial neural networks can exhibit a remarkably small gap between training and test performance. Conventional wisdom …
Dipòsit Digital de la Universitat de Barcelona: Apunts de l'assignatura "Deep Learning" Skip navigation Home Browse Communities & Collections Browse Items by: Issue Date Author …
MA Ponti, GBP Da Costa - arXiv preprint arXiv:1806.07908, 2018 - arxiv.org
Deep Learning methods are currently the state-of-the-art in many problems which can be tackled via machine learning, in particular classification problems. However there is still lack …