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jalammar.github.io

Website beoordeling jalammar.github.io

 Gegenereerd op Juni 29 2021 12:22 PM

Oude statistieken? UPDATE !


De score is 53/100

SEO Content
Title

Jay Alammar – Visualizing machine learning one concept at a time.



Lengte : 65

Perfect, uw title tag bevat tussen de 10 en 70 karakters.
Description

Visualizing machine learning one concept at a time.



Lengte : 51

Let op, uw meta description zou tussen de 70 en 160 karakters (spaces included) moeten bevatten.
Keywords



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Og Meta Properties Goed, uw page maakt gebruik van Og Properties.
Property Content
description Visualizing machine learning one concept at a time.
Headings
H1 H2 H3 H4 H5 H6
21 4 1 0 0 0
  • [H1] Jay Alammar
  • [H1] Explainable AI Cheat Sheet
  • [H1] Finding the Words to Say: Hidden State Visualizations for Language Models
  • [H1] Interfaces for Explaining Transformer Language Models
  • [H1] How GPT3 Works - Visualizations and Animations
  • [H1] YouTube Series - Jay's Intro to AI
  • [H1] QCon 2020 - Visual Intro to Machine Learning and Deep Learning
  • [H1] A Visual Guide to Using BERT for the First Time
  • [H1] Language Models and Skipgram Recommenders Talk @ MIT
  • [H1] The Illustrated GPT-2 (Visualizing Transformer Language Models)
  • [H1] A Visual Intro to NumPy and Data Representation
  • [H1] Video: Intuition & Use-Cases of Embeddings in NLP & beyond
  • [H1] The Illustrated Word2vec
  • [H1] The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning)
  • [H1] A Gentle Visual Intro to Data Analysis in Python Using Pandas
  • [H1] The Illustrated Transformer
  • [H1] Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention)
  • [H1] Visualizing Pandas' Pivoting and Reshaping Functions
  • [H1] A Visual And Interactive Look at Basic Neural Network Math
  • [H1] A Visual and Interactive Guide to the Basics of Neural Networks
  • [H1] Supercharging Android Apps With TensorFlow (Google's Open Source Machine Learning Library)
  • [H2] Loading Data
  • [H2] A High-Level Look
  • [H2] Motivation
  • [H2] Subscribe to get notified about upcoming posts by email
  • [H3] Contents
Afbeeldingen We vonden 10 afbeeldingen in de pagina.

8 alt attributen ontbreken. Voeg alternatieve text toe zodat zoekmachines beter kunnen beoordelen wat het onderwerp van de afbeeldingen is.
Text/HTML Ratio Ratio : 46%

Ideaal! De ratio van text tot HTML code is tussen de 25 en 70 procent.
Flash Perfect, geen Flash content gevonden in uw website.
Iframe Jammer, u heeft Iframes in uw website, dit betekent dat deze content niet kan worden geïndexeerd.

Herschreven URL Perfect. Uw links zien er vriendelijk uit!
Underscores in de URLs Perfect! Geen underscores gevonden in uw URLs.
In-page links We vonden een totaal van 122 links inclusie 6 link(s) naar bestanden



Ankertekst Type samenstelling
Jay Alammar Intern doFollow
@JayAlammar Extern doFollow
YouTube Channel Extern doFollow
About Intern doFollow
Explainable AI Cheat Sheet Intern doFollow
Explainable AI Cheat Sheet Extern doFollow
Finding the Words to Say: Hidden State Visualizations for Language Models Intern doFollow
Ecco Extern doFollow
Interfaces for Explaining Transformer Language Models Intern doFollow
Github Extern doFollow
Introduction Intern doFollow
Input Saliency Intern doFollow
Evolution of Hidden States Intern doFollow
Neuron Activations Intern doFollow
Conclusion & Future Work Intern doFollow
here Intern doFollow
How GPT3 Works - Visualizations and Animations Intern doFollow
Hacker News (397 points, 97 comments) Extern doFollow
Reddit r/MachineLearning (247 points, 27 comments) Extern doFollow
German Extern doFollow
Chinese (Simplified) Extern doFollow
Russian Extern doFollow
abuzz Extern doFollow
YouTube Series - Jay's Intro to AI Intern doFollow
QCon 2020 - Visual Intro to Machine Learning and Deep Learning Intern doFollow
QCon London 2020 Extern doFollow
Vincent Warmerdam Extern doFollow
Susanne Groothuis Extern doFollow
Peter Elger Extern doFollow
Hien Luu Extern doFollow
A Visual Guide to Using BERT for the First Time Intern doFollow
Chinese Extern doFollow
Russian Extern doFollow
recent announcement of how the BERT model is now a major force behind Google Search Extern doFollow
the notebook Extern doFollow
run it on colab Extern doFollow
Language Models and Skipgram Recommenders Talk @ MIT Intern doFollow
The Illustrated GPT-2 (Visualizing Transformer Language Models) Intern doFollow
Hacker News (64 points, 3 comments) Extern doFollow
Reddit r/MachineLearning (219 points, 18 comments) Extern doFollow
Russian Extern doFollow
The OpenAI GPT-2 Extern doFollow
The Illustrated Transformer Intern doFollow
A Visual Intro to NumPy and Data Representation Intern doFollow
Hacker News (366 points, 21 comments) Extern doFollow
Reddit r/MachineLearning (256 points, 18 comments) Extern doFollow
Chinese 1 Extern doFollow
Chinese 2 Extern doFollow
Japanese Extern doFollow
NumPy Extern doFollow
Video: Intuition & Use-Cases of Embeddings in NLP & beyond Intern doFollow
Intuition & Use-Cases of Embeddings in NLP & beyond Extern doFollow
https://www.infoq.com/presentations/nlp-word-embedding/ Extern doFollow
Illustrated Word2vec Intern doFollow
Hacker News (347 points, 37 comments) Extern doFollow
Reddit r/MachineLearning (151 points, 19 comments) Extern doFollow
Chinese (Simplified) Extern doFollow
Korean Extern doFollow
Portuguese Extern doFollow
Russian Extern doFollow
BERT Intern doFollow
Airbnb Extern doFollow
Alibaba Extern doFollow
Spotify Extern doFollow
Anghami Extern doFollow
The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) Intern doFollow
Hacker News (98 points, 19 comments) Extern doFollow
Reddit r/MachineLearning (164 points, 20 comments) Extern doFollow
Chinese (Simplified) Extern doFollow
French Extern doFollow
Japanese Extern doFollow
Korean Extern doFollow
Persian Extern doFollow
Russian Extern doFollow
NLP’s ImageNet moment Extern doFollow
A Gentle Visual Intro to Data Analysis in Python Using Pandas Intern doFollow
Hacker News (195 points, 51 comments) Extern doFollow
Reddit r/Python (140 points, 18 comments) Extern doFollow
pandas Extern doFollow
Hacker News (65 points, 4 comments) Extern doFollow
Reddit r/MachineLearning (29 points, 3 comments) Extern doFollow
Chinese (Simplified) Extern doFollow
French Extern doFollow
Japanese Extern doFollow
Korean Extern doFollow
Russian Extern doFollow
Spanish Extern doFollow
Vietnamese Extern doFollow
Deep Learning State of the Art Extern doFollow
previous post, we looked at Attention Intern doFollow
Cloud TPU Extern doFollow
Attention is All You Need Extern doFollow
Tensor2Tensor Extern doFollow
guide annotating the paper with PyTorch implementation Extern doFollow
Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention) Intern doFollow
Chinese (Simplified) Extern doFollow
Japanese Extern doFollow
Korean Extern doFollow
Russian Extern doFollow
Turkish Extern doFollow
Deep Learning State of the Art Extern doFollow
using Extern doFollow
Sutskever et al., 2014 Extern doFollow
Cho et al., 2014 Extern doFollow
Visualizing Pandas' Pivoting and Reshaping Functions Intern doFollow
10 Minutes to pandas Extern doFollow
Reshaping and Pivot Tables Extern doFollow
A Visual And Interactive Look at Basic Neural Network Math Intern doFollow
previous post, we looked at the basic concepts of neural networks Intern doFollow
A Visual and Interactive Guide to the Basics of Neural Networks Intern doFollow
Hacker News (63 points, 8 comments) Extern doFollow
Reddit r/programming (312 points, 37 comments) Extern doFollow
French Extern doFollow
Spanish Extern doFollow
A Visual And Interactive Look at Basic Neural Network Math Intern doFollow
Supercharging Android Apps With TensorFlow (Google's Open Source Machine Learning Library) Intern doFollow
Reddit r/Android (80 points, 16 comments) Extern doFollow
announced Extern doFollow
TensorFlow Extern doFollow
tensorflow repo on GitHub Extern doFollow
tensorflow/examples/android Extern doFollow
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License Extern doFollow

SEO Keywords
Keywords Cloud read more post machine language models comments model how learning
Keywords Consistentie
Keyword Content Title Keywords Description Headings
models 34
learning 32
model 27
language 27
more 27

Bruikbaarheid
Url Domein : jalammar.github.io
Lengte : 18
Favicon Erg slecht. We hebben geen favicon icoon gevonden. Deze trekken de aandacht van bezoekers in de regel.
Printbaarheid Jammer. We vonden geen Print-Vriendelijke CSS.
Taal Er is geen taal ingesteld. Gebruik deze gratis meta tags generator om de taal van uw website mee in te stellen.
Dublin Core Deze pagina maakt geen gebruik van Dublin Core.

Document
Doctype HTML 5
Encoding Perfect. Uw ingestelde Charset is UTF-8.
W3C Validiteit Fouten : 50
Waarschuwingen : 30
E-mail Privacy Waarschuwing! Er is op zijn minst 1 e-mailadres gevonden als platte tekst. (voorkom spam!). Gebruik deze gratis antispam protector om e-mailadressen te verbergen voor spammers.
Niet ondersteunde HTML Geweldig! We hebben geen niet meer ondersteunde HTMl tags gevonden in uw HTML.
Speed Tips
Geweldig, uw website heeft geen tabellen in een tabel.
Jammer, uw website maakt gebruik van inline styles.
Jammer, uw website heeft teveel CSS bestanden (meer dan 4).
Jammer, uw website heeft teveel JS bestanden (meer dan 6).
Perfect, uw website haalt voordeel uit gzip.

Mobile
Mobile Optimization
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Meta Viewport Tag
Flash content

Optimalisatie
XML Sitemap Geweldig, uw website heeft een XML sitemap.

http://jalammar.github.io/sitemap.xml
http://jalammar.github.io/sitemap.xml
Robots.txt http://jalammar.github.io/robots.txt

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Analytics Perfect, uw website heeft een analytics tool.

   Google Analytics
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