KNOWN_BUGS

Code is only tested and known to compile on Debian/Linux (amd64) and 
Windows 64bit platform. Minimal testing has been done on Intel 32bit plaform.

* assert(f()) calls don't often call the f() function at all. This is because python flags -DNDEBUG which disable assert sentences

* NNGradDescent() don't properly handle multiple parallel threads execution..

* Intel MKL BLAS don't work in 2020 versions, use newer MKL BLAS versions so the bugs disappears. 

* t-SNE is a bit buggy(?) and don't scale now to large number of data points

* reinforcement code don't learn example cart-pole upswing properly

* VAE code (Variational Autoencoder) currently doesn't handle learning z-space model variance well.
  is it possible to alter computation to use zvariance = encoder_stdev(x)*encoder_stdev(x) and handle related math correctly?

* HMC (bayes nnetwork) do not work properly on more that
  one output dimension nnetwork? (recheck)

* OUT OF MEMORY problems with BIG neural networks or BIG DATA
  leads to strange error messages that are not properly handled.

* static linking of nntool causes problems due to known gcc compiler bug

* realnumber (arbitrary precision math): sin() and cos() function calls fail
  as they are not properly implemented.
  
* Sylvester Equation solver hasn't been working for a long time but is not needed (won't fix)

* matrix<T>::symmetric_pseudoinverse() don't handle complex numbers correctly.
  symmetric_eig() to properly handle complex numbers so the code can be enabled.