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‘