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Enjoying the stream on Web Programming? Don't forget to check out my other collections of posts such as Web Design / UX. In case you didn't know, Google+ allows you to group your posts in collections around different subject areas. If you are seeing this you are probably following at least one of them, but there are others! If you are enjoying the ride so far, you may be interested in some of my other ones which currently include:

- Web Design / UX (https://goo.gl/JJohdQ)
- Programming (https://goo.gl/uJ479W)
- Innovation & Technology (https://goo.gl/O0f9ZM)
- Learning Science (https://goo.gl/kGOk2M)
- Creative / Artistic (https://goo.gl/4eqocO)
- Data visualization (https://goo.gl/OyAyxh)
- 3D / CGI / Multimedia (https://goo.gl/UwiqDG)
- Robotics, Drones / UAVs (https://goo.gl/vM5UJP)
- Hardware & Hacking (https://goo.gl/pBdQIL)
- Inspiring talks / books / articles (https://goo.gl/bJGn3p)
- General Geekiness / fun (https://goo.gl/D81Y12)
- Photography (https://goo.gl/RJLRyO)
- Holidays / Travel / Events (https://goo.gl/hmrcDv)

Or see full listing here: https://plus.google.com/+JasonMayes/collections and simply click on ones you like and then click follow within that collection! Enjoy!
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Life saver! This smart little tool allows you to support https for the purpose of rapid prototyping without having to setup certificates and all that nonsense. How? Well essentially it tunnels data from 3rd party domain (which does support https) to your local server. Genius and literally took me 2 minutes to setup. Of course if your prototype is carrying sensitive data then still best to roll your own, but if you just are playing with a new technology that requires a secure connection to communicate then this is perfection. https://ngrok.com/

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Don't forget to comment your code :-)

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This novel example uses nothing but #histograms of #colour to detect objects. Interesting to see how far you can go with just colour alone. Check the code and write-up below. #MachineLearning

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So #Google today announced #AndroidThings, its new comprehensive #IoT platform for building smart devices on top of Android APIs and Google’s own services. Android Things is now available as a developer preview.

https://developer.android.com/things/index.html
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What if you could generate a neural network to describe an image just from the sounds it hears? Oh wait, someone has already done it... Whilst 2016 may have sucked for many things, for Machine Learning it has been kicking ass... https://www.youtube.com/watch?v=yJCjVvIY4dU

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For those of you who wanted to see the deck I presented at #GDGLA this weekend, it is now up! Feel free to take a look. Any questions, feel free to ask.
So I presented "The Creative Technologist's Toolkit" at the LA #GDG yesterday, for those of you who wanted the deck, you can check it out below! Any questions, feel free to ask. The presentation covers some of the most exciting technologies I have played with throughout 2016 and is aimed at anyone looking to find out more about what is going on in the tech world if they are interested in creating game changing experiences :-) https://goo.gl/IPpPK2


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Flying to LA today to speak at the #GDG #LA #DevFest on Sunday! I shall be doing a presentation named "The Creative Technologist's ToolKit", aimed at covering an overview of some of the top technologies I have been using over the past year, their creative uses, and some inspiring demos from machine learning to web services and more.. Anyone going? Do say hello :-) Learn more at: https://devfest.gdgla.org/ PS I shall post there presentation here on gplus after for those of you who can't make it.
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That moment when someone tells you Taylor Swift's website is using #code you wrote (output highlighted in green). I am amazed people still find the script so useful. I wrote it quite a few years ago now. Link to file: http://taylorswift.com/engine/js/jquery/plugins/twitter-fetcher/twitterFetcher_min.js

Feel free to follow the project over on GitHub: if you want to make something similar and use the latest version: https://github.com/jasonmayes/Twitter-Post-Fetcher

+Taylor Swift Glad it was useful to you too!
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One more easy read on Convolutional Neural Networks and what is going on behind the scenes. I think between this and the last one I posted, it should give most people a good background knowledge.
http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/
If convolutional is too advanced, also check this 1 pager on what a Neural Network actually does too: http://www.cs.nott.ac.uk/~pszgxk/courses/g5aiai/006neuralnetworks/neural-networks.htm
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