Draw Cpm Network Diagram Online
How to Easily Describe Neural Network Architecture Diagrams
Using the no-lawmaking diagrams.internet tool to showcase your deep learning models with diagram visualizations
As we work with increasingly complex neural networks, the architecture tin abound into something difficult to cover and digest.
And when we want to explain these architectures to technical and non-technical audiences, the usual model summary printout does not make it any easier to grasp.
Instead of explaining the model in words, diagram visualizations are mode more effective in presenting and describing a neural network'southward compages.
Nosotros accept probably written plenty code for the residual of the twelvemonth, and then let'southward accept a wait at a simple no-code tool for drawing custom architecture diagrams — diagrams.net (formerly known as draw.io).
Contents
(ane) About diagrams.cyberspace
(ii) Drawing your beginning diagram
(3) Saving your diagrams
(4) Examples
(1) About diagrams.net
d i agrams.net (formerly known every bit draw.io) is a gratis drag-and-drop online diagramming tool that allows users to create flowcharts, generate network and entity-human relationship (ER) diagrams, and even design database schema.
Several key strengths of diagrams.net include its ease of use and seamless integration with common platforms like GitHub, OneDrive, and Google Bulldoze.
(2) Cartoon your first diagram
(i) Navigating to the spider web app
Let'south first caput over to the diagrams.net online editor tool.
When you lot get in at the home page, a pop-up appears and asks you lot to select the target location for saving your diagrams. Y'all tin can always choose 'Decide later' if you wish to do some experiments beginning.
Here is what the diagram editor looks like on the landing page:
(ii) Starting with templates
While the start thing y'all run across on the main page is an empty canvas, it does not mean y'all have to build your diagram from scratch.
diagrams.net comes with prepare-made templates for you to start working with, and this can be explored past clicking File > New… in the acme menu bar.
There are numerous templates to choose from based on the different objectives you accept.
(iii) Shape choice
diagrams.net is built on a drag-and-driblet concept, so it is highly intuitive to use. There is a wide assortment of shapes (from different categories) to choose from, and they tin exist found in the left sidebar of the diagram editor.
The sidebar comes with a Search bar for finding specific shapes you take in listen (e.g., isometric cubes), and also a Scratchpad where yous tin drag and drop shapes to save them equally favorites.
At that place are many more shapes beyond what is shown in the sidebar, where y'all tin click on the ' + More Shapes… ' push to browse the unabridged collection.
(iv) Customization
Once you lot accept placed all your desired shapes onto the canvas, the next pace is to make custom design edits and arrangements.
The right sidebar provides multiple options for y'all to make granular changes to the entire layout or specific shapes. The options available vary based on the object you have selected with your mouse.
If you want to manually edit the specific values for aspects like font color and font style, you tin click on the 'Edit Fashion' button.
(iii) Saving your diagrams
The terminal step is to salvage your diagram masterpiece in the preferred formats.
You can salve it on your local device or pop cloud storage platforms like Google Drive and Dropbox.
(4) Examples
Using this online tool, I was able to generate architecture diagrams for YOLO v1 and VGG16 easily:
YOLO v1 architecture
VGG16 architecture
These beautiful visualizations certainly make it easier for all of us to appreciate and understand these neural network architectures.
If you lot would like to work with the templates I take created, head over to this GitHub repo to admission the .drawio files, which yous tin can utilise direct.
Before You Get
I welcome yous to join me on a data science learning journey! Follow this Medium page or check out my GitHub to stay in the loop of more exciting data scientific discipline content. Meanwhile, take fun drawing architecture diagrams!
Source: https://towardsdatascience.com/how-to-easily-draw-neural-network-architecture-diagrams-a6b6138ed875
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