humblesoftwaredev wordpress.com

humblesoftwaredev Thoughts related to software development

Thoughts related to software development

OVERVIEW

The site humblesoftwaredev.wordpress.com presently has a traffic classification of zero (the smaller the more users). We have analyzed seven pages within the web site humblesoftwaredev.wordpress.com and found nine websites referencing humblesoftwaredev.wordpress.com.
Pages Parsed
7
Links to this site
9

HUMBLESOFTWAREDEV.WORDPRESS.COM TRAFFIC

The site humblesoftwaredev.wordpress.com is seeing alternating amounts of traffic all through the year.
Traffic for humblesoftwaredev.wordpress.com

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Traffic ranking (by month) for humblesoftwaredev.wordpress.com

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Traffic ranking by day of the week for humblesoftwaredev.wordpress.com

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LINKS TO WEBSITE

autumnator Various musings on automation and more

Tips for both iOS devices and iOS simulator. Set up a javascript bookmarklet to Firebug Lite. So that you can invoke the lite version of Firebug in mobile Safari on actual device or simulator. View Source of a page.

WHAT DOES HUMBLESOFTWAREDEV.WORDPRESS.COM LOOK LIKE?

Desktop Screenshot of humblesoftwaredev.wordpress.com Mobile Screenshot of humblesoftwaredev.wordpress.com Tablet Screenshot of humblesoftwaredev.wordpress.com

HUMBLESOFTWAREDEV.WORDPRESS.COM SERVER

We found that the main root page on humblesoftwaredev.wordpress.com took six hundred and forty-one milliseconds to download. I detected a SSL certificate, so we consider this site secure.
Load time
0.641 sec
SSL
SECURE
IP
192.0.78.13

BROWSER IMAGE

SERVER SOFTWARE

We discovered that humblesoftwaredev.wordpress.com is weilding the nginx os.

HTML TITLE

humblesoftwaredev Thoughts related to software development

DESCRIPTION

Thoughts related to software development

PARSED CONTENT

The site had the following in the homepage, "Image colorization CNN using TensorFlow and Inception-v3." I noticed that the web site stated " Log 20161231 A convolution neural network that takes grey scale images as input, and predict the colors base on this paper." They also stated " Prepare the dataset Convert training images from JPEG to HSV values. The input is V and target is HS. Train a scene classification network using the Places365 data. Use a pre-trained classification model. Compute MSE between the predicted HS values and the actual HS values."

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