csukuangfj

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

csukuangfj

/** Numerical Analysis 9th ed - Burden, Faires (Ch. 3 Natural Cubic Spline, Pg. 149) */
#include <stdio.h>

int main() {
    /** Step 0 */
    int n, i, j;
    scanf("%d", &n);
    n--;
    float x[n + 1], a[n + 1], h[n], A[n], l[n + 1],
        u[n + 1], z[n + 1], c[n + 1], b[n], d[n];

csukuangfj

################################################################################
#
# \file      cmake/FindMKL.cmake
# \author    J. Bakosi
# \copyright 2012-2015, Jozsef Bakosi, 2016, Los Alamos National Security, LLC.
# \brief     Find the Math Kernel Library from Intel
# \date      Thu 26 Jan 2017 02:05:50 PM MST
#
################################################################################

csukuangfj

using System;

public class BingConvert
{
    public static double[] WGS84toGoogleBing(double lon, double lat)
    {
        double x = lon * 20037508.34 / 180;
        double y = Math.Log(Math.Tan((90 + lat) * Math.PI / 360)) / (Math.PI / 180);
        y = y * 20037508.34 / 180;
        return new double[] { x, y };

csukuangfj

• ASCAL Visual Object Classes Challenge 2007 (VOC2007) Annotation Guidelines http://host.robots.ox.ac.uk/pascal/VOC/voc2007/guidelines.html

csukuangfj

bind -T root F12  \
  set prefix None \;\
  set key-table off \;\
  set status-style "fg=$color_status_text,bg=$color_window_off_status_bg" \;\
  set window-status-current-format "#[fg=$color_window_off_status_bg,bg=$color_window_off_status_current_bg]$separator_powerline_right#[default] #I:#W# #[fg=$color_window_off_status_current_bg,bg=$color_window_off_status_bg]$separator_powerline_right#[default]" \;\
  set window-status-current-style "fg=$color_dark,bold,bg=$color_window_off_status_current_bg" \;\
  if -F '#{pane_in_mode}' 'send-keys -X cancel' \;\
  refresh-client -S \;\

bind -T off F12 \

csukuangfj

Table of Contents

• c++14
• mutex
• Unqiue Ptr
• Static Assert
• Parameter Pack
• TODO

---

csukuangfj

Deep Learning

• https://github.com/ARM-software/CMSIS_5/blob/develop/CMSIS/NN/Include/arm_nnfunctions.h
• a paper [CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs][1], google scolar of the author [Liangzhen Lai][2]
• a paper [Fixed point quantization of deep convolutional networks][3]
• a paper [Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations][4]
• a blog [Why GEMM is at the heart of deep learning][5]
• a paper [cuDNN: Efficient Primitives for Deep Learning][6]

csukuangfj

- a blog article: "Understanding LSTM Networks", http://colah.github.io/posts/2015-08-Understanding-LSTMs/
- a paper (LSTM): long short-term memory: http://www.bioinf.jku.at/publications/older/2604.pdf
- a paper (GRU) Gated Recurrent Unit: "Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine 
Translation", 2014, https://arxiv.org/pdf/1406.1078v3.pdf
- phd thesis: "Long Short-Term Memory in Recurrent Neural Networks", 2001, http://www.felixgers.de/papers/phd.pdf

csukuangfj

Caches

• https://courses.cs.washington.edu/courses/cse378/09wi/lectures/lec15.pdf