Deep Learning
John D. Kelleher
sep. 2019 · Gildan Media · Oplæst af Joel Richards
5,0star
2 anmeldelserreport
headphones
Lydbog
5 t. og 49 min.
Uforkortet
family_home
Kvalificeret
info
reportBedømmelser og anmeldelser verificeres ikke Få flere oplysninger
Vil du have en smagsprøve på 38 min.? Lyt, når det passer dig – selv hvis du er offline.
Tilføj
Om denne lydbog
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.
Bedømmelser og anmeldelser
5,0
2 anmeldelser
Om forfatteren
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.
Bedøm denne lydbog
Fortæl os, hvad du mener.
Sådan hører du din bog
Smartphones og tablets
Installer appen Google Play Bøger til Android og iPad/iPhone. Den synkroniserer automatisk med din konto og giver dig mulighed for at læse online eller offline, uanset hvor du er.
Bærbare og stationære computere
Du kan læse bøger, der er købt på Google Play, ved at bruge webbrowseren på din computer.
