Website stats and analysis
2.48 Rating by Usitestat

easy-tensorflow.com was registered 6 years 10 months ago. It has a alexa rank of #2,977,283 in the world. It is a domain having .com extension. It is estimated worth of $ 480.00 and have a daily income of around $ 2.00. As no active threats were reported recently, easy-tensorflow.com is SAFE to browse.

Traffic Report

Daily Unique Visitors: 294
Daily Pageviews: 588

Estimated Valuation

Income Per Day: $ 2.00
Estimated Worth: $ 480.00

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: 2,977,283
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:

185.224.137.39

Hosted Country:

Netherlands NL

Location Latitude:

52.525

Location Longitude:

5.71806

Search Engine Results For easy-tensorflow.com

A TensorFlow Tutorial: The Ultimate Framework for Machine ... - Toptal

- https://www.toptal.com/machine-learning/tensorflow-machine-learning-tutorial

It leverages various optimization techniques to make the calculation of mathematical expressions easier and more performant. Some of the key features of ...


TensorFlow i - Tutorialspoint

- https://www.tutorialspoint.com/tensorflow/tensorflow_tutorial.pdf

TensorFlow is designed in Python programming language, hence it is considered an easy to understand framework. Audience. This tutorial has been prepared ...


TensorFlow - Wikipedia

- https://en.wikipedia.org/wiki/TensorFlow

TensorFlow is a free and open-source software library for machine learning. It can be used ... Its flexible architecture allows for the easy deployment of computation across a...


easy-tensorflow · PyPI

- https://pypi.org/project/easy-tensorflow/

Apr 13, 2021 ... Easy Tensorflow: An interface containing easy tensorflow model building blocks and feature encoding pipelines. Model file structure:


TensorFlow Tutorial for Beginners: Your Gateway to Building ...

- https://www.simplilearn.com/tutorials/deep-learning-tutorial/tensorflow

May 25, 2021 ... Learn what Tensorflow is and why to use TensorFlow with examples ... to process large amounts of data, TensorFlow makes it easy by running ...


THE EASY TENSORFLOW MACHINE LEARNING ... - Amazon.com

- https://www.amazon.com/EASY-TENSORFLOW-MACHINE-LEARNING-MANUAL-ebook/dp/B08THQ97GG?tag=askcom05-20

Amazon.com: THE EASY TENSORFLOW MACHINE LEARNING MANUAL: Step By Step Guide to Learn Machine Learning With Scikit-Learn, Keras and ...


THE EASY TENSORFLOW MACHINE LEARNING MANUAL: Step ...

- https://www.amazon.com/EASY-TENSORFLOW-MACHINE-LEARNING-MANUAL/dp/B08TQ5JHWK?tag=askcom05-20

THE EASY TENSORFLOW MACHINE LEARNING MANUAL: Step By Step Guide to Learn Machine Learning With Scikit-Learn, Keras and TensorFlow [JEFF, DR ...


What is TensorFlow? How it Works? Introduction & Architecture

- https://www.guru99.com/what-is-tensorflow.html

Apr 6, 2021 ... List of Prominent Algorithms supported by TensorFlow; Simple TensorFlow Example; Options to Load Data into TensorFlow; Create Tensorflow ...


Tensorflow in Deep Learning Lecture 4 Convolutional Neural

- https://slidetodoc.com/tensorflow-in-deep-learning-lecture-4-convolutional-neural/

Tensorflow in Deep Learning Lecture 4: Convolutional Neural Network (CNN) JAHANDAR JAHANIPOUR jjahanipour@uh. edu www. easy-tensorflow. com ...


Easy TensorFlow - Home

- https://www.easy-tensorflow.com/

TensorFlow Tutorials and Deep Learning Experiences in TF.


Introduction to Tensorflow (Graph, Session, Nodes and variable ...

- https://cs230.stanford.edu/blog/moretensorflow/

Introduction to Tensorflow (Graph, Session, Nodes and variable scope) ... For a simple example on MNIST, read the official tutorial, but keep in mind that some of  ...


Build a computer vision model with TensorFlow - Google Developers

- https://developers.google.com/codelabs/tensorflow-2-computervision

In this codelab, you'll create a computer vision model that can recognize items of clothing with TensorFlow. Prerequisites. A solid knowledge of Python; Basic ...


10 Things You Need to Know Before Getting Started with TensorFlow

- https://www.twilio.com/blog/10-things-you-need-to-know-before-getting-started-with-tensorflow

Oct 14, 2019 ... TensorFlow is an open source library released by Google Brain (now Google AI) in 2015 to make it easier for developers to build, train, and ...


[Easy] Tensorflow.js and GridWorld - From Value Fuction to A3C ...

- https://www.reddit.com/r/reinforcementlearning/comments/caiewi/easy_tensorflowjs_and_gridworld_from_value/

It is recommended for those who need a foundation of RL for easy content. [ Caution] The portion using tensorflow.js can only be guaranteed to run on Google ...


Why most researchers are shifting from tensorFlow to Pytorch?

- https://www.researchgate.net/post/Why_most_researchers_are_shifting_from_tensorFlow_to_Pytorch

In Tensorflow, you have to define the entire computational graph of the model and ... PyTorch is easier to learn and work with and, is better for some projects and ...


Mastering TensorFlow “Variables” in 5 Easy Steps | by Orhan G ...

- https://towardsdatascience.com/mastering-tensorflow-variables-in-5-easy-step-5ba8062a1756

Learn how to use TensorFlow Variables, their differences from plain Tensor objects, and when they are preferred over these Tensor objects | Deep Learning with ...


TensorFlow or PyTorch? which is the best? | Towards Data Science

- https://towardsdatascience.com/tensorflow-or-pytorch-146f5397278a

Well, as shown in this simple example, the way it can be created a neural network in TensorFlow and PyTorch doesn't really differ, except in some details ...


TensorFlow official links and examples – Deep Learning Garden

- https://deeplearning.lipingyang.org/tensorflow-examples1/

TF-Slim is a library that makes building, training and evaluation neural networks simple: Allows the user to define models much more compactly by eliminating ...


TensorFlow 2.0 Tutorial | Deep Learning With TensorFlow 2.0

- https://www.analyticsvidhya.com/blog/2020/03/tensorflow-2-tutorial-deep-learning/

Mar 19, 2020 ... When Google announced TensorFlow 2.0, they declared that Keras is now the official high-level API of TensorFlow for quick and easy model ...


Aryan Mobiny - Senior Computer Vision Algorithm Engineer ...

- https://www.linkedin.com/in/aryan-mobiny

www.easy-tensorflow.com - The open-source project aimed to provide simple and ready-to-use tutorials for TensorFlow. - Selected as GitHub trending repository ...

Page Resources Breakdown

Homepage Links Analysis

Easy TensorFlow - Home
TensorFlow Tutorials and Deep Learning Experiences in TF

Website Inpage Analysis

H1 Headings: Not Applicable H2 Headings: Not Applicable
H3 Headings: 1 H4 Headings: Not Applicable
H5 Headings: Not Applicable H6 Headings: Not Applicable
Total IFRAMEs: Not Applicable Total Images: 12
Google Adsense: Not Applicable Google Analytics: Not Applicable

Two Phrase Analysis

Words Occurrences Density Possible Spam
Many to 6 2.372 % No
RNN for 4 1.581 % No
for Classification 4 1.581 % No
One with 4 1.581 % No
to One 4 1.581 % No
Length Many 4 1.581 % No
Neural Networks 4 1.581 % No
Sequence Length 4 1.581 % No
vs Dynamic 2 0.791 % No
Dynamic Many 2 0.791 % No
Static vs 2 0.791 % No
Notations Static 2 0.791 % No
network Convolutional 2 0.791 % No
neural network 2 0.791 % No
Twolayer neural 2 0.791 % No
Networks Twolayer 2 0.791 % No
Convolutional Neural 2 0.791 % No
Neural Nets 2 0.791 % No
Networks Notations 2 0.791 % No
Recurrent Neural 2 0.791 % No

Four Phrase Analysis

Words Occurrences Density Possible Spam
Many to One with 4 1.581 % No
Sequence Length Many to 4 1.581 % No
vs Dynamic Many to 2 0.791 % No
Dynamic Many to One 2 0.791 % No
to One with Fixed 2 0.791 % No
with Fixed Sequence Length 2 0.791 % No
Length Many to One 2 0.791 % No
Fixed Sequence Length Many 2 0.791 % No
Static vs Dynamic Many 2 0.791 % No
One with Fixed Sequence 2 0.791 % No
Notations Static vs Dynamic 2 0.791 % No
Neural Nets CNN1 Recurrent 2 0.791 % No
Convolutional Neural Nets CNN1 2 0.791 % No
network Convolutional Neural Nets 2 0.791 % No
neural network Convolutional Neural 2 0.791 % No
Nets CNN1 Recurrent Neural 2 0.791 % No
CNN1 Recurrent Neural Networks 2 0.791 % No
Networks Notations Static vs 2 0.791 % No
Neural Networks Notations Static 2 0.791 % No
Recurrent Neural Networks Notations 2 0.791 % No

HTTP Header Analysis

Http-Version: 1.1
Status-Code: 200
Status: 200 OK
Connection: Keep-Alive
X-Powered-By: PHP/7.0.33
X-Logged-In: False
X-Content-Powered-By: K2 v2.8.0 (by JoomlaWorks)
Content-Type: text/html; charset=utf-8
Expires: Wed, 17 Aug 2005 00:00:00 GMT
Last-Modified: Tue, 20 Apr 2021 13:19:39 GMT
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Pragma: no-cache
Transfer-Encoding: chunked
Content-Encoding: gzip
Vary: Accept-Encoding
Date: Tue, 20 Apr 2021 13:19:39 GMT
Server: LiteSpeed

Domain Information

Domain Registrar: Google LLC
Registration Date: 2017-12-21 6 years 10 months 4 weeks ago
Last Modified: 2020-12-21 3 years 10 months 3 weeks ago

Domain Nameserver Information

Host IP Address Country
ns1.hostinger.com 31.170.163.241 United States United States
ns2.hostinger.com 31.220.23.1 United States United States
ns3.hostinger.com 194.5.158.237 France France
ns4.hostinger.com 145.14.155.4 Netherlands Netherlands

DNS Record Analysis

Host Type TTL Extra
easy-tensorflow.com A 9413 IP: 185.224.137.39
easy-tensorflow.com NS 79265 Target: ns3.hostinger.com
easy-tensorflow.com NS 79265 Target: ns4.hostinger.com
easy-tensorflow.com NS 79265 Target: ns1.hostinger.com
easy-tensorflow.com NS 79265 Target: ns2.hostinger.com
easy-tensorflow.com SOA 86400 MNAME: ns1.hostinger.com
RNAME: dns.hostinger.com
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easy-tensorflow.com MX 14400 Priority: 10
Target: mx1.hostinger.com
easy-tensorflow.com AAAA 14394 IPV6: 2a02:4780:8:245::1f75:32d4:1

Full WHOIS Lookup

Domain Name: EASY-TENSORFLOW.COM
Registry Domain ID:
2202757224_DOMAIN_COM-VRSN
Registrar WHOIS Server:
whois.google.com
Registrar URL:
http://domains.google.com
Updated Date:
2020-12-21T05:22:27Z
Creation Date:
2017-12-21T04:19:34Z
Registry Expiry Date:
2021-12-21T04:19:34Z
Registrar: Google LLC
Registrar IANA ID:
895
Registrar Abuse Contact Email:
[email protected]
Registrar Abuse Contact Phone:
+1.8772376466
Domain Status: ok https://icann.org/epp#ok
Name
Server: NS1.HOSTINGER.COM
Name Server: NS2.HOSTINGER.COM
Name
Server: NS3.HOSTINGER.COM
Name Server:
NS4.HOSTINGER.COM
DNSSEC: unsigned
URL of the ICANN Whois
Inaccuracy Complaint Form: https://www.icann.org/wicf/
>>> Last
update of whois database: 2021-04-20T13:19:35Z

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