kirel

Preface

This is an overview over the inner workings of Detexify. Extended knowlege in pattern recognition or machine learning is not necessary as I will explain some basics but understanding of linear algebra will definitely help. I have to note that I am not an expert, either. I more or less stumbled into this because of this project. Experts in this field may safely skip the first section.

What's the problem?

jbenet

/* 
author: jbenet
os x, compile with: gcc -o testo test.c 
linux, compile with: gcc -o testo test.c -lrt
*/

#include <time.h>
#include <sys/time.h>
#include <stdio.h>

aspyct

/**
 * More info?
 * a.dotreppe@aspyct.org
 * http://aspyct.org
 *
 * Hope it helps :)
 */

#include <stdio.h>
#include <stdlib.h> 

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

shagunsodhani

Large Scale Distributed Deep Networks

Introduction

• In machine learning, accuracy tends to increase with an increase in the number of training examples and number of model parameters.
• For large data, training becomes slow on even GPU (due to increase CPU-GPU data transfer).
• Solution: Distributed training and inference - DistBelief
• Link to paper

DistBelief

BartG95

## Makefile to compile a typical, simple C++14 project.
## Author       : Bart Groeneveld
## License      : GPLv3
## Latest update: Saturday, May 21st, 2016
## You are probably only interested in the first line of this Makefile.

# Libraries on which TARGET depends
LIBS = \
	-lpthread
# Name of the executable