Skip to main content
  • 2293 Accesses

Abstract

In Chapter 1, we explored together the digit recognizer problem, and wrote a classifier from scratch. In this final chapter, we are going to revisit that problem, from two different angles: performance, and useful tools. Chapters 1 to 7 were primarily focused on implementing algorithms to solve various problems, and discovering machine learning concepts in the process. By contrast, this chapter is more intended as a series of practical tips which can be useful in various situations. We will use the digit recognizer model we created in Chapter 1 as a familiar reference point, and use it to illustrate techniques that are broadly applicable to other situations.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Mathias Brandewinder

About this chapter

Cite this chapter

Brandewinder, M. (2015). Digits, Revisited. In: Machine Learning Projects for .NET Developers. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4302-6766-9_8

Download citation

Publish with us

Policies and ethics