anchor.diff:  
    * *Rent a dedicated system*, such as computation servers (which are getting cheaper and cheaper).
     It seems to work quite well, but not everyone is willing to invest money in it.
  -  I am not.
  -  So I will detail further the second option.
  +  I am not, so I will not detail this option any further, but it's still a viable way to do things.
    * *Get your own system*.
  - Hopefully, you don't need an extreme CPU for that, because matrix computations are very well adapted to GPUs.
  + Hopefully, you don't need an extreme CPU for that, because matrix computations are totally adapted to GPUs.
    And GPUs are affordable and very well spread (Thank you Gamers!).
    Almost any mid-range GPU will be able to get you started if needed, but there are definitely important criterions to be taken into account if you want to get serious job done.
     http://timdettmers.com/2017/04/09/which-gpu-for-deep-learning/[Which GPU to get for Deep Learning] is very nice article on this subject by Tim Dettmers. The author is very responsive, so do not hesitate to ask for more precisions in the comments.
  
positive.code: 
  But, playing with *Neural Networks* is not exactly trivial, not if you don't want to get bored very quickly. +
  Why that? +
  Because these babies are hungry of computational power.
  
  Well, they are not exactly monsters that will require thousands to be invested in your computer, they can run on pretty any system available these days.
  But they can be so *slooowwwwww...*
  
negative.code: === Getting practical: make it run!
  
  Once you get a suitable system, it's time to get the software installed.
  There is certainly no _best_ language for Deep Learning, and I will not pretend to recommend any.
  On my side I use *Python*, and obviously the resources I am talking about are using Python too.
  
  Many Python libraries are available for Deep Learning, and the choice might be difficult here also.
  I think https://keras.io/[Keras] is a good pick, as it is unifying some popular frameworks so you can jump from one to another very easily.
  