From: http://osxdaily.com/2006/12/19/command-line-keyboard-shortcuts-for-mac-os-x/
The command line in Mac OS X can be a very powerful and fun tool, so it’s good to know how to maneuver around if you find yourself in it. By default, the Mac OS X Terminal uses the Bash shell, which is what these keyboard shortcuts are intended for. So if you’re ready to get your feet wet, open up the Terminal and try these shortcuts out, they’re sure to make your command line life easier. The list isn’t too crazy so you should be able to try all these out within a minute or two, have fun:
| Ctrl + A | Go to the beginning of the line you are currently typing on |
| Ctrl + E | Go to the end of the line you are currently typing on |
| Ctrl + L | Clears the Screen, similar to the clear command |
| Ctrl + U | Clears the line before the cursor position. If you are at the end of the line, clears the entire line. |
| Ctrl + H | Same as backspace |
| Ctrl + R | Let’s you search through previously used commands |
| Ctrl + C | Kill whatever you are running |
| Ctrl + D | Exit the current shell |
| Ctrl + Z | Puts whatever you are running into a suspended background process. fg restores it. |
| Ctrl + W | Delete the word before the cursor |
| Ctrl + K | Clear the line after the cursor |
| Ctrl + T | Swap the last two characters before the cursor |
| Esc + T | Swap the last two words before the cursor |
Mixture Density Network
In this paper, there are more detailed equation derivations for RBM, especially the Gaussian-Bernoulli RBM.
So you can do all sorts of neat things:
Lets create some matrix in matlab first and save it:
>> x=[[1,2,3];[4,5,6];[7,8,9]] x = 1 2 3 4 5 6 7 8 9 >> save -v7.3 x.mat x
Lets investigate that file from the shell:
Download slides: 
$ h5ls x.mat x Dataset {3, 3} $ h5dump x.mat HDF5 "x.mat" { GROUP "/" { DATASET "x" { DATATYPE H5T_IEEE_F64LE DATASPACE SIMPLE { ( 3, 3 ) / ( 3, 3 ) } DATA { (0,0): 1, 4, 7, (1,0): 2, 5, 8, (2,0): 3, 6, 9 } ATTRIBUTE "MATLAB_class" { DATATYPE H5T_STRING { STRSIZE 6; STRPAD H5T_STR_NULLTERM; CSET H5T_CSET_ASCII; CTYPE H5T_C_S1; } DATASPACE SCALAR DATA { (0): "double" } } } } }And load it from python:
>>> import h5py >>> import numpy >>> f = h5py.File('x.mat') >>> x=f["x"] >>> x <HDF5 dataset "x": shape (3, 3), type "<f8"> >>> numpy.array(x) array([[ 1., 4., 7.], [ 2., 5., 8.], [ 3., 6., 9.]])So it seems actually to be a good idea to use matlab's 7.3 format for interoperability.