当前位置:网站首页>Dry goods collection! "Deep learning: deep learning" on page 639

Dry goods collection! "Deep learning: deep learning" on page 639

2020-12-06 19:23:27 Computer vision Alliance

It's never easy to read a blog , Recently, my tutor sent me a deep learning course PPT, That's great , illustrated , It's a very hard core learning course . Take a note of , At the same time paid the download link to facilitate everyone to learn together

The latest development of deep machine learning makes visual recognition 、 Speech and text understanding or autonomous agent systems have made unprecedented progress . In this context , This course will explore in depth the details of the deep learning architecture , The focus is on learning the end-to-end model of these tasks . Students will learn to implement 、 Train and debug your own neural network , And have a detailed understanding of the frontier research in this field . The course will also introduce the latest innovations in reasoning methods , Including differential reasoning 、 Confrontation training and Bayesian deep learning .

file

PPT link : https://pan.baidu.com/s/1nugq... Extraction code : wmgn

Course introduction

The latest development of deep machine learning makes visual recognition 、 Speech and text understanding or autonomous agent systems have made unprecedented progress . In this context , This course will explore in depth the details of the deep learning architecture , The focus is on learning the end-to-end model of these tasks . Students will learn to implement 、 Train and debug your own neural network , And have a detailed understanding of the frontier research in this field . The course will also introduce the latest innovations in reasoning methods , Including differential reasoning 、 Confrontation training and Bayesian deep learning .

Syllabus

  • Fundamentals of machine learning
  • neural network
  • Convolutional neural networks
  • Training neural network
  • Recurrent neural network
  • Automatic encoder and generation model
  • Generative adversary network
  • uncertainty
  • Adversarial attack and defense

file
file
file
file
About Instructor
Gilles Louppe He is an associate professor of artificial intelligence and deep learning at the University of Liege in Belgium . He was a post doctoral assistant in the Department of physics and the center for data science at New York University , It is closely related to the atlas experiment of CERN . His research is in machine learning 、 At the intersection of artificial intelligence and physical science , His current research interests include the use and design of new machine learning algorithms , Dealing with data-driven issues from basic science in a new and transformative way .
Personal website :http://www.montefiore.ulg.ac.be/~glouppe
file
file
file

PPT link : https://pan.baidu.com/s/1nugq... Extraction code : wmgn

Just for sharing , Does not represent this position , Deletion of infringement contact

版权声明
本文为[Computer vision Alliance]所创,转载请带上原文链接,感谢
https://chowdera.com/2020/12/202012061921157827.html