Website stats and analysis

Accelerated Deep Learning inference from your browser Posted by: Chengwei in deep learning, edge computing  months,  weeks ago read more / Comments How to run SSD Mobilenet V object detection on Jetson Nano at + FPS Posted by: Chengwei in deep learning, edge computing, tensorflow ...

2.48 Rating by Usitestat

dlology.com was registered 7 years 2 months ago. It has a alexa rank of #827,693 in the world. It is a domain having .com extension. It is estimated worth of $ 1,680.00 and have a daily income of around $ 7.00. As no active threats were reported recently, dlology.com is SAFE to browse.

Traffic Report

Daily Unique Visitors: 1,059
Daily Pageviews: 2,118

Estimated Valuation

Income Per Day: $ 7.00
Estimated Worth: $ 1,680.00

Search Engine Indexes

Google Indexed Pages: Not Applicable
Yahoo Indexed Pages: Not Applicable
Bing Indexed Pages: Not Applicable

Search Engine Backlinks

Google Backlinks: Not Applicable
Bing Backlinks: Not Applicable
Alexa BackLinks: Not Applicable

Safety Information

Google Safe Browsing: No Risk Issues
Siteadvisor Rating: Not Applicable
WOT Trustworthiness: Very Poor
WOT Privacy: Very Poor
WOT Child Safety: Very Poor

Website Ranks & Scores

Alexa Rank: 827,693
PageSpeed Score: 89 ON 100
Domain Authority: 49 ON 100
Bounce Rate: Not Applicable
Time On Site: Not Applicable

Web Server Information

Hosted IP Address:

172.67.206.157

Hosted Country:

United States US

Location Latitude:

37.7757

Location Longitude:

-122.395

Search Engine Results For dlology.com

How to create custom COCO data set for instance ... - Blog | DLology

- https://www.dlology.com/blog/how-to-create-custom-coco-data-set-for-instance-segmentation/

Download labelme, run the application and annotate polygons on your images. Run my script to convert the labelme annotation files to COCO dataset JSON file.


How to convert trained Keras model to a single ... - Blog | DLology

- https://www.dlology.com/blog/how-to-convert-trained-keras-model-to-tensorflow-and-make-prediction/

You are going to learn step by step how to freeze and convert your trained Keras model into a single TensorFlow pb file.


About – Chengwei Zhang – Medium

- https://medium.com/@chengweizhang2012/about

About Chengwei Zhang on Medium. Programmer and maker. Love to write deep learning articles.| Website: https://www.DLology.com | GitHub: ...


Gentle guide on how YOLO Object Localization works with Keras ...

- https://arabicprogrammer.com/article/609148434/

Next, for each grid cell, we have the following labels for training. Same as we showed earlier in Part 1 of the series. https://www.dlology.com/blog/gentle-guide- on- ...


Tony607 (Chengwei Zhang) · GitHub

- https://github.com/Tony607

How to do Real Time Trigger Word Detection with Keras | DLology. Jupyter Notebook 150 47 · Keras_age_gender. Easy Real time gender age prediction from ...


dopamine_example | jupyter notebooks gallery - notebook.community

- https://notebook.community/softwaremechanic/Miscellaneous/ml-samples-examples/dopamine_example

The instructions for setting up Tensorboard were obtained from https://www. dlology.com/blog/quick-guide-to-run-tensorboard-in-google-colab/. In [1]:.


A Machine Learning Engineer's Tutorial to Transfer Learning for ...

- https://blog.fourthbrain.ai/tutorial-transfer-learning-for-multi-class-image-segmentation-using-u-net

18 Mar 2021 ... Source: https://www.dlology.com/blog/automatic-defect-inspection-with-end-to- end-deep-learning/. With the ultimate goal to optimally tune the ...


How to Train an Object Detection Model With Mmdetection _ DLology

- https://www.scribd.com/document/477686161/How-to-Train-an-Object-Detection-Model-With-Mmdetection-DLology

overall dataset size, and faster training speed. https://www.dlology.com/blog/how- to-train-an-object-detection-model-with-mmdetection/ 1 ...


Launch a Dash app in a Google Colab Notebook | Newbedev

- https://newbedev.com/launch-a-dash-app-in-a-google-colab-notebook

To my knowledge there is currently no straightforward way to do this. Find below a workaround that is similar to setting up Tensorboard (https://www.dlology.com.


Linear Warmup Explained | Papers With Code

- https://paperswithcode.com/method/linear-warmup

This reduces volatility in the early stages of training. Image Credit: [Chengwei Zhang](https://www.dlology.com/about-me/). Code Snippet URL (optional):. Image.


Blog | DLology

- https://www.dlology.com/

Accelerated Deep Learning inference from your browser. Posted by: Chengwei in deep learning, edge computing 11 months, 3 weeks ago. logo. read more / 0 ...


Prediction Data Features - CS230 Deep Learning

- http://cs230.stanford.edu/projects_fall_2019/posters/26262060.pdf

[3] https://www.dlology.com/blog/simple-guide-on-how-to-generate-roc-plot-for- keras-classifier/. [4] Ni, Lina, et al. "Forecasting of Forex Time Series Data Based  ...


Use a custom trained keras NN on the Jetson Nano - Jetson Nano ...

- https://forums.developer.nvidia.com/t/use-a-custom-trained-keras-nn-on-the-jetson-nano/83312

1 Feb 2020 ... Hey AastaLLL,. Thanks for the reply. I am understanding better what needs to be done. I found this article. https://www.dlology.com/ ...


Vietnamese_handwriting_recognition

- https://awesomeopensource.com/project/huyhoang17/Vietnamese_Handwriting_Recognition

... https://github.com/greydanus/scribe. CTC loss: https://www.dlology.com/blog/ how-to-train-a-keras-model-to-recognize-variable-length-text/ ...


USB Camera vs Pi Camera - Raspberry Pi Stack Exchange

- https://raspberrypi.stackexchange.com/questions/102141/usb-camera-vs-pi-camera

2 Sep 2019 ... pyimagesearch.com/2017/10/16/…, github.com/EdjeElectronics/…, dlology.com/ blog/… - first three results when googling "object detection with ...


One simple trick to train Keras model faster with Batch...

- https://hackernoon.com/one-simple-trick-to-train-keras-model-faster-with-batch-normalization-baa7787bf923

10 Dec 2017 ... Originally published at www.dlology.com. Disclaimer: Batch Normalization is really an optimization to help train faster, so you shouldn't think of ...


SSD Mobilenet V2 with Jetson Nano - Technologination | Facebook

- https://www.facebook.com/231281236885479/posts/ssd-mobilenet-v2-with-jetson-nano/3563109377035965/

dlology.com. How to run SSD Mobilenet V2 object detection on Jetson Nano at 20+ FPS | DLology. This guide has shown you the easiest way to reproduce my ...


Lecture 5: Computer Vision (part 2)

- http://users.jyu.fi/~olkhriye/ties4911/lectures/Lecture05.pdf

4 Mar 2021 ... ... for object detection of it's own - Detectron. Relevant links: https://www.dlology. com/blog/how-to-train-detectron2-with-custom-coco-datasets/.


trt - 清蒸虾球的烧法

- http://xiazheng.net/trt/

14 Oct 2020 ... How to run Keras model on Jetson Nano | DLology. In this tutorial, we walked through how to convert, optimized your Keras image classification ...


How to measure the latency of a webcam with opencv

- https://www.hebergementwebs.com/news/how-to-measure-the-latency-of-a-webcam-with-opencv

1 Feb 2021 ... ... the photo-eye sensor or a real-time signal from the computer. Share on Twitter Share on Facebook. Posted originally at www.dlology.com .


Detectron2 practical tutorial to get started(Others-Community)

- https://titanwolf.org/Network/Articles/Article?AID=d3d896e9-b7a7-4910-895d-d30c06ef87ca

... how to create custom data sets for instance COCO division (https://www. dlology.com/blog/how-to-create-custom- coco-data-set-for-instance- segmentation/).


Research Log - Nanyang Technological University

- https://www.ntu.edu.sg/docs/default-source/talent-outreach/nrp/eee06_rle5e5c996-3f65-42e2-ac1d-b899d8fc1765.pdf?sfvrsn=565524f2_3

https://www.dlology.com/blog/how-to-create-custom- coco-data-set-for-instance- segmentation/ : This article helps me in the data preparation task of generating the ...

Page Resources Breakdown

Homepage Links Analysis

Blog | DLology

Website Inpage Analysis

H1 Headings: 1 H2 Headings: 5
H3 Headings: 6 H4 Headings: Not Applicable
H5 Headings: Not Applicable H6 Headings: 9
Total IFRAMEs: Not Applicable Total Images: 6
Google Adsense: Not Applicable Google Analytics: UA-107773448-1

Two Phrase Analysis

Words Occurrences Density Possible Spam
deep learning 8 3.113 % No
by Chengwei 5 1.946 % No
Posted by 5 1.946 % No
Deep Learning 5 1.946 % No
read more 5 1.946 % No
more Comments 5 1.946 % No
How to 4 1.556 % No
Chengwei in 4 1.556 % No
in deep 4 1.556 % No
tutorial read 3 1.167 % No
edge computing 3 1.167 % No
Me Blog 3 1.167 % No
ago Tags 3 1.167 % No
About Me 3 1.167 % No
20 FPS 2 0.778 % No
at 20 2 0.778 % No
tensorflow 1 year 2 0.778 % No
Automatic Defect 2 0.778 % No
Defect Inspection 2 0.778 % No
VS CODE 2 0.778 % No

Four Phrase Analysis

Words Occurrences Density Possible Spam
Chengwei in deep learning 4 1.556 % No
Posted by Chengwei in 4 1.556 % No
by Chengwei in deep 4 1.556 % No
tutorial read more Comments 3 1.167 % No
object detection on Jetson 2 0.778 % No
Mobilenet V2 object detection 2 0.778 % No
detection on Jetson Nano 2 0.778 % No
on Jetson Nano at 2 0.778 % No
Jetson Nano at 20 2 0.778 % No
SSD Mobilenet V2 object 2 0.778 % No
run SSD Mobilenet V2 2 0.778 % No
more Comments How to 2 0.778 % No
How to run SSD 2 0.778 % No
Nano at 20 FPS 2 0.778 % No
to run SSD Mobilenet 2 0.778 % No
read more Comments How 2 0.778 % No
Automatic Defect Inspection with 2 0.778 % No
How to train Detectron2 2 0.778 % No
1 year 7 months ago Tags 2 0.778 % No
to train Detectron2 with 2 0.778 % No

HTTP Header Analysis

Http-Version: 1.1
Status-Code: 200
Status: 200 OK
Date: Sat, 15 May 2021 01:27:49 GMT
Content-Type: text/html; charset=utf-8
Transfer-Encoding: chunked
Connection: keep-alive
Vary: Cookie
X-Frame-Options: SAMEORIGIN
CF-Cache-Status: DYNAMIC
cf-request-id: 0a0f3c16ca00001ba5d6afb000000001
Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
Report-To: {"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report?s=CKqRnen415RwL8fFoqUx/wTpws+fMRtp0VHBwvn25ad1xOuzEhpZ7y35BRgxJID/Z85+N3x7OCMHTA0v+juMYRS0ZWsLJJTPOFKpcMBdY0c="}],"group":"cf-nel","max_age":604800}
NEL: {"report_to":"cf-nel","max_age":604800}
Server: cloudflare
CF-RAY: 64f896047ab81ba5-MUC
Content-Encoding: gzip
alt-svc: h3-27=":443"; ma=86400, h3-28=":443"; ma=86400, h3-29=":443"; ma=86400

Domain Information

Domain Registrar: Alibaba Cloud Computing (Beijing) Co., Ltd.
Registration Date: 2017-09-18 7 years 2 months 2 days ago
Last Modified: 2020-07-10 4 years 4 months 1 week ago

Domain Nameserver Information

Host IP Address Country
marek.ns.cloudflare.com 108.162.193.202 United States United States

DNS Record Analysis

Host Type TTL Extra
dlology.com A 297 IP: 104.21.22.185
dlology.com A 297 IP: 172.67.206.157
dlology.com NS 86400 Target: marek.ns.cloudflare.com
dlology.com NS 86400 Target: jasmine.ns.cloudflare.com
dlology.com SOA 3600 MNAME: jasmine.ns.cloudflare.com
RNAME: dns.cloudflare.com
Serial: 2034538514
Refresh: 10000
Retry: 2400
Expire: 604800
dlology.com MX 300 Priority: 5
Target: mxn.mxhichina.com
dlology.com MX 300 Priority: 10
Target: mxw.mxhichina.com
dlology.com TXT 300 TXT: v=spf1 include:spf.mxhichina.com -all
dlology.com AAAA 296 IPV6: 2606:4700:3034::6815:16b9
dlology.com AAAA 296 IPV6: 2606:4700:3035::ac43:ce9d

Full WHOIS Lookup

Domain Name: DLOLOGY.COM
Registry Domain ID:
2164294996_DOMAIN_COM-VRSN
Registrar WHOIS Server:
grs-whois.hichina.com
Registrar URL: http://www.net.cn
Updated
Date: 2020-07-10T05:52:50Z
Creation Date:
2017-09-18T06:22:45Z
Registry Expiry Date:
2021-09-18T06:22:45Z
Registrar: Alibaba Cloud Computing (Beijing)
Co., Ltd.
Registrar IANA ID: 420
Registrar Abuse Contact
Email: [email protected]
Registrar Abuse Contact
Phone: +86.95187
Domain Status: ok
https://icann.org/epp#ok
Name Server:
JASMINE.NS.CLOUDFLARE.COM
Name Server:
MAREK.NS.CLOUDFLARE.COM
DNSSEC: unsigned
URL of the ICANN
Whois Inaccuracy Complaint Form: https://www.icann.org/wicf/
>>>
Last update of whois database: 2021-05-15T01:27:46Z

Similarly Ranked Websites

Net2Source - Global Workforce Solutions Company

- net2source.com

Net2Source, global workforce solutions company, helps businesses find qualified candidates and connect them to positions in technology, pharma and more.

827,698   $ 1,680.00

Familist.ro - Părinți și copii

- familist.ro

Discutăm despre situațiile de zi cu zi ale vieții de familie: dragoste, relații, nunți și ocazii speciale, sarcină, animale, casă și grădină, rețete și timp liber.

827,701   $ 1,680.00

Fun2cell UK :: Browse

- mobsu.net

827,701   $ 1,680.00

فروشگاه همه چی تموم

- hamechitamom.com

فروشگاه اینترنتی همه چی تموم

827,709   $ 1,680.00

北京财贸职业学院

- bjczy.edu.cn

827,711   $ 1,680.00