Skip to product information
1 of 1

Variational Methods for Machine Learning with Applications to Deep Networks

Variational Methods for Machine Learning with Applications to Deep Networks

Hardback

Regular price £105.91
Regular price Sale price £105.91

Join our rewards scheme and earn reward points on this purchase!

Earn points on this!

Sign in or Sign up!
View full details
  • Release Date: 11/05/2021
  • Barcode: 9783030706784
  • Imprint: Springer Nature
  • Publisher: Springer
Variational Methods for Machine Learning with Applications to Deep Networks

Variational Methods for Machine Learning with Applications to Deep Networks

Reprint

Collapsible content

DESCRIPTION

This book provides a straightforward look at the concepts, algorithms and advantages of Bayesian Deep Learning and Deep Generative Models.
This book provides a straightforward look at the concepts, algorithms and advantages of Bayesian Deep Learning and Deep Generative Models. Starting from the model-based approach to Machine Learning, the authors motivate Probabilistic Graphical Models and show how Bayesian inference naturally lends itself to this framework. The authors present detailed explanations of the main modern algorithms on variational approximations for Bayesian inference in neural networks. Each algorithm of this selected set develops a distinct aspect of the theory. The book builds from the ground-up well-known deep generative models, such as Variational Autoencoder and subsequent theoretical developments. By also exposing the main issues of the algorithms together with different methods to mitigate such issues, the book supplies the necessary knowledge on generative models for the reader to handle a wide range of data types: sequential or not, continuous or not, labelled or not. The book is self-contained, promptly covering all necessary theory so that the reader does not have to search for additional information elsewhere.

  • Offers a concise self-contained resource, covering the basic concepts to the algorithms for Bayesian Deep Learning;
  • Presents Statistical Inference concepts, offering a set of elucidative examples, practical aspects, and pseudo-codes;
  • Every chapter includes hands-on examples and exercises and a website features lecture slides, additional examples, and other support material.



DELIVERY & RETURNS

UK Delivery:

  • Free delivery on all orders of £10 or more.
  • £1.49 delivery fee on orders below £10.
  • UK orders are shipped via Royal Mail 2nd Class.

International Delivery:

  • Flat rate delivery charges vary by country.

Dispatch and Delivery Times:

  • All orders are shipped from our warehouse in Northampton, UK as soon as stock is available.
  • UK mainland orders typically arrive within 3-7 working days via Royal Mail 2nd Class.
  • International estimated delivery times:
  • Europe & Channel Islands: 7 to 10 working days
  • USA: 7 to 15 working days
  • Rest of the World: 9 to 30 working days

View our full delivery infomation here.

  • OVER

    2 MILLION PRODUCTS

  • 60 MILLION CUSTOMERS

    ACROSS 190 COUNTRIES