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If temp is nonzero but a subnormal then temp2 matrix may contain infinities which may cause temp assignment in line 225 to be a NaN (as a difference of two positive infinities).

user confusion.

file a little clearer on this issue.

--HG--
rename : dlib/matlab/mex_example_class.cpp => dlib/matlab/example_mex_class.cpp

the documentation.  I also updated a few places throughout the docs to say that
you need a C++11 compiler.

organized in the HTML documentation.

* Use *sections* to make the README more structured and easier to read.
* Use *code blocks* for scripts.
* Use *links* for the homepage and for the LICENSE file.

* Unreachable code, fixed compiler warning

* Update simd4f.h

* Unreachable code, fixed compiler warning

* Update simd8f.h

state to disk. If it detects that the loss has been going up then instead of
saving to disk it recalls the previously good state.  This way, if we hit a
bad mini-batch during training which negatively effects the model in a
significant way, the dnn_trainer will automatically revert back to an earlier
good state.

Merge branch 'skip_gui_examples' of git://github.com/miscellanea/dlib into miscellanea-skip_gui_examples

Conflicts:
	examples/CMakeLists.txt