Skip to main content

Visualizing Models

  • Chapter
  • First Online:
Deep Learning on Windows
  • 2304 Accesses

Abstract

When building a deep learning model, it is often better to be able to visualize the model. Although the model we created—the LeNet model—is simple, it is better if we can see the structure. Especially when we are tweaking or modifying the model, we can easily compare their structures. And when working with more complex models (which we will look at in the next chapter), it is easier to wrap your head around them if you can see their structure visually.

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 44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 59.99
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

Notes

  1. 1.

    GitHub (Lutz Roeder), https://github.com/lutzroeder, [14 Nov, 2020].

  2. 2.

    Github (Netron), https://github.com/lutzroeder/netron, [14 Nov, 2020].

  3. 3.

    Github (Netron downloads), https://github.com/lutzroeder/netron/releases/latest, [14 Nov, 2020].

  4. 4.

    Lutz Roeder (Netron browser version), https://www.lutzroeder.com/ai/netron, [14 Nov, 2020].

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Thimira Amaratunga

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Amaratunga, T. (2021). Visualizing Models. In: Deep Learning on Windows. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6431-7_6

Download citation

Publish with us

Policies and ethics