No winter but AI global warming

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Name things for what they are

Is Deep Learning rage simply a bubble or is this time it here for a long time to stay. As researchers proposed first let’s change the Deep Learning title into the more humble and exact Multilayered Network for Functions Approximation. Now it sounds more practical and there is no sign of hype. Then check to what fields those networks were applied and see if it is diverse and if the algorithms used are universally applicable. Check the number of articles published that have a real essence within them. If you’ve got ‘yes’ as an answer to those questions then it feels like finally those approaches are really usefull.

What’s next?

This post will be updated in a near future. Meanwhile check the posts by Carlos E. Perez from IntuitionMachine.com that writes extensively on the subject and do not forget to check his ‘The Deep Learning Playbook

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Wind of Deep Change

Welcome to the world of Machine and Deep Learning

Following my transition to another continent in near future I’ll be able to focus more on Machine and Deep Learning being a technical editor at renowned Machine Learning Mastery site authored by Dr. Jason Brownlee. It means you can expect more posts on machine learning to come especially on LSTM and recurrent neural networks.

What is it like to be a technical editor?

Throughout my career I’ve been a SW test engineer and SW developer but in parallel I’ve been busy helping to edit books as Jumping Into C++ by Alex Allain and other projects, such as Kindle Optimizer Chrome extension. So becoming a technical editor in machine learning field is just a logical step to make. Actually technical editor is a bit like a QA engineer and a developer at once since you have to understand how Python code is working to make that LSTM to be able to predict time series values and to be a test engineer to make the content and the code to be as good as it can be. In addition, there is a kind of freedom that regular tester or developer do not possess which is to suggest changes to the author which may be meaningful and influential. Most importantly, technical editor deals with the raw content of a future article, a blog post or a chapter from the book that millions of people may read and it provides you with the understanding of the responsibility that you bear on your shoulders. The corrections that you make may influence readers and make their experience pleasant or not.

Why machine or deep learning after all?

Technical editing as testing or programming is a universal position since it can be successfully applied to various topics in those fields, but machine learning has the proper ingredients of math, programming and future potential that makes it very attractive.

Stay tuned as John Sonmez says

So if you follow this blog stay around the corner to be up to date with the current progress in Deep Learning field and if you care check this public Deep Learning for All group at Facebook where I share latest and in my view greatest news coming from Deep Learning fruitful field.