Deep Learning
John D. Kelleher
Sep 2019 · Gildan Media · Kuchazwe ngu-Joel Richards
5.0star
2 izibuyekezoreport
headphones
I-audiobook
5 ihora 49 iminithi
Okungavamile
family_home
Kufanelekile
info
reportIzilinganiso nezibuyekezo aziqinisekisiwe Funda Kabanzi
Ufuna isampula elingu-38 iminithi? Lalela noma kunini, nanoma ungaxhunyiwe ku-inthanethi.
Engeza
Mayelana nale audiobook
Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution.
Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning—major trends, possible developments, and significant challenges.
Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning—major trends, possible developments, and significant challenges.
Izilinganiso nezibuyekezo
5.0
2 izibuyekezo
Mayelana nomlobi
John D. Kelleher is Academic Leader of the Information, Communication, and Entertainment Research Institute at the Technological University Dublin. He is coauthor of Data Science and Fundamentals of Machine Learning for Predictive Data Analytics.
Joel Richards was the kid who did crazy things just to have a good story to tell afterward. On deciding to make his affection his profession, he received a BFA in acting and a BA in English from the University of Utah. He has narrated over 150 audiobooks and continues to tell his original stories to live audiences.
Linganisela le-audiobook
Sitshele ukuthi ucabangani.
Ulwazi lokulalela
Amasmathifoni namathebulethi
Faka uhlelo lokusebenza lwe-Google Play Amabhuku lwe-Android ne-iPad/iPhone. Livunyelaniswa ngokuzenzakalela ne-akhawunti yakho liphinde likuvumele ukuthi ufunde uxhunywe ku-inthanethi noma ungaxhunyiwe noma ngabe ukuphi.
Amakhompyutha aphathekayo namakhompyutha
Ungafunda amabhuku athengwe ku-Google Play usebenzisa isiphequluli sewebhu kukhompyutha yakho.
