- Deep Learning - Goodfellow, Bengio, Courville
- Section 1: ML basics (skipped)
- Section 2: DL
- Section 3: DL in practice & research
- Summary - Notes by someone
- ⭐ Deep Learning in Neural Networks: An Overview - Schmidhuber
- [ML yearning - Andrew Ng] (http://www.mlyearning.org/): general Machine Learning skills (not fully available yet)
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#!/bin/bash | |
sleep 1 | |
if [ -f ~/.brightness ] | |
then | |
read -r br < ~/.brightness | |
bri=`echo "${br} * 100" | bc -l | xargs printf "%.0f\n"` | |
echo $bri | |
if [ ${bri} -gt 100 ] |
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#!/bin/sh | |
path=/sys/class/backlight/intel_backlight | |
luminance() { | |
read -r level < "$path"/actual_brightness | |
factor=$((max / 100)) | |
ret=`printf '%d\n' "$((level / factor))"` | |
if [ $ret -gt 100 ]; then | |
ret=100 | |
fi |