This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
@font_family { | |
font-family: 'Baskerville Monospace'; | |
font-style: normal; | |
font-weight: 200; | |
font-stretch: 100%; | |
font-display: swap; | |
src: url(data:font/truetype;charset=utf-8;base64,AAEAAAASAQAABAAgRkZUTYvjCWYAAlvcAAAAHEdERUYAJQAAAAIXKAAAABhHUE9Tf9jlDgACGjQA AEGoR1NVQjRwLYwAAhdAAAAC8k9TLzKIR2iXAAABqAAAAGBjbWFwJlVXBwAACRwAAAPmY3Z0IAKJ DUgAABb8AAAALmZwZ23kLgKEAAANBAAACWJnYXNwAAAAEAACFyAAAAAIZ2x5ZuSNqAAAABrEAAHq mGhlYWQN5YfTAAABLAAAADZoaGVhBh8BxAAAAWQAAAAkaG10eA96Kn4AAAIIAAAHEmxvY2E1PLf6 AAAXLAAAA5ZtYXhwAysFNAAAAYgAAAAgbmFtZb5d3KwAAgVcAAAGZnBvc3Rgi+IvAAILxAAAC1tw cmVw/Jcg2AAAFmgAAACTAAEAAAABAACEYUyIXw889QAfA+gAAAAAzN15zAAAAADfgspc/rP+/AOf A8oAAAAIAAIAAAAAAAAAAQAAA8r+8gAAAlj+s/66A58AAQAAAAAAAAAAAAAAAAAAAb8AAQAAAcoA kAAHAAAAAAACADAAPgBqAAAAvwRkAAAAAAADAlgBkAAFAAACvAKKAAAAjAK8AooAAAHdADIA+gAA AgAAAAAAAAAAAKAAAL9QAABbAAAAAAAAAABweXJzAEAAIPsGA8r+8gAAA8oBDgAAAJMAAAAAAhID AgAAACAAAwJYADoAAAAAAlgAAAJYAAACWADrAlgAsAJYAAcCWAAbAlgAAQJY/64CWAD8AlgAtQJY AJICWABpAlgAQgJYANQCWACRAlgA6gJYAGMCWAAIAlgAkgJYACoCWAArAlgAGQ |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
/* cyrillic-ext */ | |
@font-face { | |
font-family: 'Open Sans'; | |
font-style: normal; | |
font-weight: 300; | |
font-stretch: 100%; | |
font-display: swap; | |
src: url(https://fonts.gstatic.com/s/opensans/v34/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSKmu0SC55K5gw.woff2) format('woff2'); | |
unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; | |
} |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
" - For Neovim: stdpath('data') . '/plugged' | |
" - Avoid using standard Vim directory names like 'plugin' | |
call plug#begin('~/.vim/plugged') | |
Plug 'dracula/vim', { 'as': 'dracula' } | |
Plug 'jceb/vim-orgmode' | |
Plug 'tpope/vim-speeddating' | |
call plug#end() | |
set relativenumber | |
colorscheme dracula |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# Reference | |
# ========= | |
# Why does deep and cheap learning work so well?∗ | |
# Henry W. Lin, Max Tegmark, and David Rolnick | |
# Dept. of Physics, Harvard University, Cambridge, MA 02138 | |
# Dept. of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139 and Dept. of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139 | |
# Here the x input takes two numbers and produces the multiplication as output | |
import numpy as np | |
# multiplication approximator |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
template< | |
typename PerformanceFunction, | |
typename OutputLayerType, | |
typename PerformanceFunctionType, | |
typename MatType = arma::mat | |
> | |
void BuildDropConnectNetwork(MatType& trainData, | |
MatType& trainLabels, | |
MatType& testData, | |
MatType& testLabels, |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
if evidence: | |
for evidence_var in evidence: | |
for factor in working_factors[evidence_var]: | |
factor_reduced = factor.reduce('{evidence_var}_{state}'.format(evidence_var=evidence_var, | |
state=evidence[evidence_var]), | |
inplace=False) | |
for var in factor_reduced.scope(): | |
working_factors[var].remove(factor) | |
working_factors[var].add(factor_reduced) | |
del working_factors[evidence_var] |