Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Machine Learning for Developers

You're reading from  Machine Learning for Developers

Product type Book
Published in Oct 2017
Publisher Packt
ISBN-13 9781786469878
Pages 270 pages
Edition 1st Edition
Languages
Authors (2):
Rodolfo Bonnin Rodolfo Bonnin
Profile icon Rodolfo Bonnin
Md Mahmudul Hasan Md Mahmudul Hasan
View More author details

Table of Contents (10) Chapters

Preface Introduction - Machine Learning and Statistical Science The Learning Process Clustering Linear and Logistic Regression Neural Networks Convolutional Neural Networks Recurrent Neural Networks Recent Models and Developments Software Installation and Configuration

References

  • Bellman, Richard, A Markovian decision process. Journal of Mathematics and Mechanics (1957): 679-684.
  • Kaelbling, Leslie Pack, Michael L. Littman, and Andrew W. Moore, Reinforcement learning: A survey. Journal of artificial intelligence research 4 (1996): 237-285.
  • Goodfellow, Ian, et al., Generative adversarial nets, advances in neural information processing systems, 2014
  • Radford, Alec, Luke Metz, and Soumith Chintala, Unsupervised representation learning with deep convolutional generative adversarial networks. arXiv preprint arXiv:1511.06434 (2015).
  • Isola, Phillip, et al., Image-to-image translation with conditional adversarial networks, arXiv preprint arXiv:1611.07004 (2016).
  • Mao, Xudong, et al., Least squares generative adversarial networks. arXiv preprint ArXiv:1611.04076 (2016).
  • Eghbal-Zadeh, Hamid, and Gerhard Widmer, Likelihood Estimation for Generative Adversarial...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}