Website stats for Easy-tensorflow - easy-tensorflow.com
easy-tensorflow.com was registered 6 years 6 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:
NL
Location Latitude:
52.525Location Longitude:
5.71806Traffic Classification
| Total Traffic: | Not Applicable |
| Direct Traffic: | Not Applicable |
| Referral Traffic: | Not Applicable |
| Search Traffic: | Not Applicable |
| Social Traffic: | Not Applicable |
| Mail Traffic: | Not Applicable |
| Display Traffic: | Not Applicable |
Search Engine Results For easy-tensorflow.com
A TensorFlow Tutorial: The Ultimate Framework for Machine ... - Toptal
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
TensorFlow is designed in Python programming language, hence it is considered an easy to understand framework. Audience. This tutorial has been prepared ...
TensorFlow - Wikipedia
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
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 ...
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
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
Tensorflow in Deep Learning Lecture 4: Convolutional Neural Network (CNN) JAHANDAR JAHANIPOUR jjahanipour@uh. edu www. easy-tensorflow. com ...
Easy TensorFlow - Home
TensorFlow Tutorials and Deep Learning Experiences in TF.
Introduction to Tensorflow (Graph, Session, Nodes and variable ...
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
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
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 ...
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?
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 ...
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
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
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
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 ...
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
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 |
Mobile Friendly Check
Mobile Friendly : Unknown
Score : Unknown
No data to show.
HTTP Header Analysis
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
Cache-Control: no-store, no-cache, must-revalidate, post-check=0, pre-check=0
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 6 months 5 days ago |
| Last Modified: | 2020-12-21 3 years 6 months 1 week ago |
Domain Nameserver Information
| Host | IP Address | Country | |
|---|---|---|---|
| ns1.hostinger.com | |
31.170.163.241 |  United States |
| ns2.hostinger.com | |
31.220.23.1 | United States |
| ns3.hostinger.com | |
194.5.158.237 |  France |
| ns4.hostinger.com | |
145.14.155.4 | 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 Serial: 2018012000 Refresh: 28800 Retry: 7200 Expire: 604800 |
| easy-tensorflow.com | MX | 14400 |
Priority: 10 Target: mx1.hostinger.com |
| easy-tensorflow.com | AAAA | 14394 |
IPV6: 2a02:4780:8:245::1f75:32d4:1 |
Alexa Traffic Rank
Alexa Search Engine Traffic
Full WHOIS Lookup
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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