Total words: 16845 | 2-word phrases: 4389 | 3-word phrases: 5236 | 4-word phrases: 5595
PAGE INFO
| Title | Try to keep the title under 60 characters (53 characters)
fast.ai – fast.ai—Making neural nets uncool again |
| Description | Try to keep the meta description between 50 - 160 characters (0 characters)
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| Keywords | Meta keywords are not recommended anymore (0 characters)
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| H1 | H1 tag on the page (41 characters)
fast.ai—Making neural nets uncool again |
ONE WORD PHRASES 1625 Words
| # |
Keyword |
H1 |
Title |
Des |
Volume |
Position |
Suggest |
Frequency |
Density |
| 1 | the | | | | | | | 168 | 10.34% |
| 2 | and | | | | | | | 160 | 9.85% |
| 3 | to | | | | | | | 146 | 8.98% |
| 4 | a | | | | | | | 128 | 7.88% |
| 5 | of | | | | | | | 126 | 7.75% |
| 6 | for | | | | | | | 91 | 5.60% |
| 7 | in | | | | | | | 89 | 5.48% |
| 8 | learning | | | | | | | 84 | 5.17% |
| 9 | jeremy | | | | | | | 77 | 4.74% |
| 10 | thomas | | | | | | | 77 | 4.74% |
TWO WORD PHRASES 4389 Words
| # |
Keyword |
H1 |
Title |
Des |
Volume |
Position |
Suggest |
Frequency |
Density |
| 1 | rachel thomas | | | | | | | 66 | 1.50% |
| 2 | jeremy howard | | | | | | | 64 | 1.46% |
| 3 | deep learning | | | | | | | 62 | 1.41% |
| 4 | deep learning? | | | | | | | 62 | 1.41% |
| 5 | thomas | | | | | | | 24 | 0.55% |
| 6 | in a | | | | | | | 22 | 0.50% |
| 7 | learning for | | | | | | | 22 | 0.50% |
| 8 | part 2 | | | | | | | 20 | 0.46% |
| 9 | as a | | | | | | | 19 | 0.43% |
| 10 | is a | | | | | | | 19 | 0.43% |
| 11 | for coders | | | | | | | 18 | 0.41% |
| 12 | on a | | | | | | | 18 | 0.41% |
| 13 | to a | | | | | | | 17 | 0.39% |
| 14 | howard | | | | | | | 16 | 0.36% |
| 15 | 2017 rachel | | | | | | | 16 | 0.36% |
| 16 | of the | | | | | | | 15 | 0.34% |
| 17 | in the | | | | | | | 15 | 0.34% |
| 18 | of a | | | | | | | 15 | 0.34% |
| 19 | this post | | | | | | | 14 | 0.32% |
| 20 | at the | | | | | | | 14 | 0.32% |
THREE WORD PHRASES 5236 Words
| # |
Keyword |
H1 |
Title |
Des |
Volume |
Position |
Suggest |
Frequency |
Density |
| 1 | rachel thomas | | | | | | | 23 | 0.44% |
| 2 | deep learning for | | | | | | | 20 | 0.38% |
| 3 | learning for coders | | | | | | | 18 | 0.34% |
| 4 | 2017 rachel thomas | | | | | | | 15 | 0.29% |
| 5 | jeremy howard | | | | | | | 14 | 0.27% |
| 6 | 2020 jeremy howard | | | | | | | 13 | 0.25% |
| 7 | practical deep learning | | | | | | | 12 | 0.23% |
| 8 | 2018 rachel thomas | | | | | | | 10 | 0.19% |
| 9 | rachel thomas a | | | | | | | 10 | 0.19% |
| 10 | 2016 jeremy howard | | | | | | | 8 | 0.15% |
| 11 | 2019 rachel thomas | | | | | | | 8 | 0.15% |
| 12 | deep learning course | | | | | | | 7 | 0.13% |
| 13 | 2020 rachel thomas | | | | | | | 7 | 0.13% |
| 14 | 2019 jeremy howard | | | | | | | 7 | 0.13% |
| 15 | 2021 jeremy howard | | | | | | | 6 | 0.11% |
| 16 | in deep learning | | | | | | | 6 | 0.11% |
| 17 | 2018 jeremy howard | | | | | | | 6 | 0.11% |
| 18 | university of san | | | | | | | 6 | 0.11% |
| 19 | jeremy howard a | | | | | | | 6 | 0.11% |
| 20 | of san francisco | | | | | | | 6 | 0.11% |
| 21 | 2023 jeremy howard | | | | | | | 5 | 0.10% |
| 22 | 7 2017 rachel | | | | | | | 5 | 0.10% |
| 23 | this post is | | | | | | | 5 | 0.10% |
| 24 | this post has | | | | | | | 5 | 0.10% |
| 25 | the new york | | | | | | | 5 | 0.10% |
| 26 | you need to | | | | | | | 5 | 0.10% |
| 27 | jeremy howard i | | | | | | | 5 | 0.10% |
| 28 | a lot of | | | | | | | 5 | 0.10% |
| 29 | translated into chinese | | | | | | | 5 | 0.10% |
| 30 | 2016 rachel thomas | | | | | | | 5 | 0.10% |
FOUR WORD PHRASES 5595 Words
| # |
Keyword |
H1 |
Title |
Des |
Volume |
Position |
Suggest |
Frequency |
Density |
| 1 | deep learning for coders | | | | | | | 16 | 0.29% |
| 2 | practical deep learning for | | | | | | | 11 | 0.20% |
| 3 | 2017 rachel thomas | | | | | | | 10 | 0.18% |
| 4 | 2016 jeremy howard | | | | | | | 5 | 0.09% |
| 5 | 7 2017 rachel thomas | | | | | | | 5 | 0.09% |
| 6 | university of san francisco | | | | | | | 5 | 0.09% |
| 7 | this post has been | | | | | | | 4 | 0.07% |
| 8 | rachel thomas a | | | | | | | 4 | 0.07% |
| 9 | been translated into chinese | | | | | | | 4 | 0.07% |
| 10 | this post is part | | | | | | | 4 | 0.07% |
| 11 | translated into chinese here | | | | | | | 4 | 0.07% |
| 12 | the university of san | | | | | | | 4 | 0.07% |
| 13 | 2016 rachel thomas | | | | | | | 4 | 0.07% |
| 14 | make tech more ethical | | | | | | | 3 | 0.05% |
| 15 | you need to know | | | | | | | 3 | 0.05% |
| 16 | thomas what you need | | | | | | | 3 | 0.05% |
| 17 | the new york times | | | | | | | 3 | 0.05% |
| 18 | post has been translated | | | | | | | 3 | 0.05% |
| 19 | to make tech more | | | | | | | 3 | 0.05% |
| 20 | has been translated into | | | | | | | 3 | 0.05% |
| 21 | series please check out | | | | | | | 3 | 0.05% |
| 22 | 2017 jeremy howard | | | | | | | 3 | 0.05% |
| 23 | tech more ethical part | | | | | | | 3 | 0.05% |
| 24 | learning for coders part | | | | | | | 3 | 0.05% |
| 25 | part 1 of a | | | | | | | 3 | 0.05% |
| 26 | for coders part 2 | | | | | | | 3 | 0.05% |
| 27 | from deep learning foundations | | | | | | | 3 | 0.05% |
| 28 | was inspired by a | | | | | | | 3 | 0.05% |
| 29 | aiinsociety this post is | | | | | | | 3 | 0.05% |
| 30 | deep learning foundations to | | | | | | | 3 | 0.05% |
| 31 | 16 things you can | | | | | | | 3 | 0.05% |
| 32 | email your data science | | | | | | | 3 | 0.05% |
| 33 | 17 2017 rachel thomas | | | | | | | 3 | 0.05% |
| 34 | rachel thomas how | | | | | | | 3 | 0.05% |
| 35 | 4 2023 jeremy howard | | | | | | | 3 | 0.05% |
| 36 | edge deep learning for | | | | | | | 3 | 0.05% |
| 37 | advice this post has | | | | | | | 3 | 0.05% |
| 38 | 20 2020 jeremy howard | | | | | | | 3 | 0.05% |
| 39 | 3 2017 rachel thomas | | | | | | | 3 | 0.05% |
| 40 | the new york times? | | | | | | | 3 | 0.05% |
EXTERNAL LINKS
| # |
URL |
Whois |
Check |
| 1 | https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527
| Whois | amazon.com |
| 2 | https://www.economist.com/business/2018/10/25/new-schemes-teach-the-masses-to-build-ai
| Whois | economist.com |
| 3 | https://www.nytimes.com/2018/11/18/technology/artificial-intelligence-language.html
| Whois | nytimes.com |
| 4 | https://www.technologyreview.com/s/611858/small-team-of-ai-coders-beats-googles-code/
| Whois | technologyreview.com |