documentation updated

master
Marc Wäckerlin 8 years ago
parent cd70179fee
commit e5306ed9a8
  1. 5
      ax_init_standard_project.m4
  2. 6
      bootstrap.sh
  3. 13
      doc/style.css
  4. 84
      src/neuron.hxx

@ -171,12 +171,13 @@ AC_DEFUN([AX_INIT_STANDARD_PROJECT], [
AX_SUBST(NUMBERS) AX_SUBST(NUMBERS)
AX_SUBST(HOME) AX_SUBST(HOME)
if test -f README.md; then if test -f README.md; then
README=$() README=$(tail -n +3 README.md)
DESCRIPTION=$(head -1 README.md) DESCRIPTION=$(head -1 README.md)
else else
README=$(tail -n +3 README) README=$(tail -n +3 README)
DESCRIPTION=$(head -1 README) DESCRIPTION=$(head -1 README)
fi fi
README_ESCAPED=$(echo "$README" | sed ':a;N;$!ba;s/\n/\\n/g;s,",\\",g')
if which pandoc 2>&1 > /dev/null; then if which pandoc 2>&1 > /dev/null; then
README_HTML=$(echo "$README" | pandoc -f markdown_github -t html | sed ':a;N;$!ba;s,\\\(.\),\\\\<span>\1</span>,g;s/\n/\\n/g;s,",\\",g;s, ,\&nbsp;\&nbsp;,g') README_HTML=$(echo "$README" | pandoc -f markdown_github -t html | sed ':a;N;$!ba;s,\\\(.\),\\\\<span>\1</span>,g;s/\n/\\n/g;s,",\\",g;s, ,\&nbsp;\&nbsp;,g')
else else
@ -184,6 +185,8 @@ AC_DEFUN([AX_INIT_STANDARD_PROJECT], [
fi fi
AX_SUBST(README) AX_SUBST(README)
_AM_SUBST_NOTMAKE([README]) _AM_SUBST_NOTMAKE([README])
AX_SUBST(README_ESCAPED)
_AM_SUBST_NOTMAKE([README_ESCAPED])
AX_SUBST(README_HTML) AX_SUBST(README_HTML)
_AM_SUBST_NOTMAKE([README_HTML]) _AM_SUBST_NOTMAKE([README_HTML])
AX_SUBST(DESCRIPTION) AX_SUBST(DESCRIPTION)

@ -529,7 +529,11 @@ ${DEFAULT_PROJECT_NAME}
add description for ${DEFAULT_PROJECT_NAME} add description for ${DEFAULT_PROJECT_NAME}
EOF EOF
to configure.ac <<EOF && notice "please edit configure.ac, then rerun $0" && exit 0 to configure.ac <<EOF && notice "please edit configure.ac, then rerun $0" && exit 0
${HEADER}m4_define(x_package_name, ${DEFAULT_PROJECT_NAME}) # project's name ${HEADER}# default is generated from AUTHORS and project name
PROJECT_URL=
SOURCE_DOWNLOAD=
m4_define(x_package_name, ${DEFAULT_PROJECT_NAME}) # project's name
m4_define(x_major, 0) # project's major version m4_define(x_major, 0) # project's major version
m4_define(x_minor, 0) # project's minor version m4_define(x_minor, 0) # project's minor version
m4_include(ax_init_standard_project.m4) m4_include(ax_init_standard_project.m4)

@ -1,5 +1,16 @@
#titlearea { #titlearea {
display: flex; display: flex;
justify-content: space-between; justify-content: space-between;
align-items: flex-end; align-items: flex-begin;
}
#titlearea nav {
padding: 0;
margin: 0;
}
#titlearea nav a {
background-color: lightgray;
border: 1px solid gray;
color: black;
padding: 1ex;
margin: 0;
} }

@ -11,6 +11,56 @@
@section neuro-intro Overview @section neuro-intro Overview
@subsection nature Natural Neural Network
From <a href="https://en.wikipedia.org/wiki/Neuron">Wikipedia</a>:
«A neuron is an electrically excitable cell that processes and
transmits information through electrical and chemical
signals. These signals between neurons occur via synapses,
specialized connections with other cells. Neurons can connect to
each other to form neural networks. Neurons are the core
components of the brain and spinal cord of the central nervous
system, and of the ganglia of the peripheral nervous system.» The
neuron connects with dendrites to the world or to the axon of
other neuirons. The neurites (dendrite or axon) transport
electrical stimulation to the cell, which emits the signal to the
dendrites if the activation reaches a certain level.
@dot
digraph g {
rankdir=LR;
ranksep=0.8;
node [shape=hexagon];
edge [arrowhead=none];
subgraph clusterInput {
label="sensors";
color="white";
node [shape=point];
I0; I1; I2; I3; I4; I5; I6; I7; I8 I9;
}
subgraph clusterOutput {
label="actors";
color="white";
node [shape=point];
O0; O1; O2; O3; O4; O5; O6;
}
I1 -> Cell1 [label="axon";taillabel="synapse"];
{ I2; I3; I4; } -> Cell1;
{ I5; I6; I7; I8; } -> Cell2;
{ I4; I6; I9; I0; } -> Cell3;
Cell1 -> Cell8 [label="axon / dendrite"];
Cell1 -> { Cell2; Cell4; Cell5; }
Cell2 -> { Cell4; Cell5; Cell6; Cell8; }
Cell3 -> { Cell4; Cell6; Cell7; Cell8; }
{ Cell4; Cell5; Cell6 } -> { Cell7; Cell8; }
Cell7 -> { O0; O1; O2 };
Cell8 -> { O3; O4; O5; };
Cell8 -> O6 [label="dendrite"];
}
@enddot
@subsection art Artificial Neural Network
A complex neural network can be imitiated as a vector @c I of @c i A complex neural network can be imitiated as a vector @c I of @c i
input values, a vector @c O of @c o output values and any number input values, a vector @c O of @c o output values and any number
@c l of hidden layers, where each of them contains @c h @c l of hidden layers, where each of them contains @c h
@ -67,26 +117,12 @@
Ox [label=<O<SUB></SUB>>]; Ox [label=<O<SUB></SUB>>];
Oo [label=<O<SUB>o</SUB>>]; Oo [label=<O<SUB>o</SUB>>];
} }
I1 -> { H11; H12; H1x; H1h; } { I1; I2; Ix; Ii; }
I2 -> { H11; H12; H1x; H1h; } -> { H11; H12; H1x; H1h; }
Ix -> { H11; H12; H1x; H1h; } -> { H21; H22; H2x; H2h; }
Ii -> { H11; H12; H1x; H1h; } -> { Hx1; Hx2; Hxx; Hxh; }
H11 -> { H21; H22; H2x; H2h; } -> { Hl1; Hl2; Hlx; Hlh; }
H12 -> { H21; H22; H2x; H2h; } -> { O1; O2; Ox; Oo; }
H1x -> { H21; H22; H2x; H2h; }
H1h -> { H21; H22; H2x; H2h; }
H21 -> { Hx1; Hx2; Hxx; Hxh; }
H22 -> { Hx1; Hx2; Hxx; Hxh; }
H2x -> { Hx1; Hx2; Hxx; Hxh; }
H2h -> { Hx1; Hx2; Hxx; Hxh; }
Hx1 -> { Hl1; Hl2; Hlx; Hlh; }
Hx2 -> { Hl1; Hl2; Hlx; Hlh; }
Hxx -> { Hl1; Hl2; Hlx; Hlh; }
Hxh -> { Hl1; Hl2; Hlx; Hlh; }
Hl1 -> { O1; O2; Ox; Oo; }
Hl2 -> { O1; O2; Ox; Oo; }
Hlx -> { O1; O2; Ox; Oo; }
Hlh -> { O1; O2; Ox; Oo; }
} }
@enddot @enddot
@ -111,6 +147,14 @@
@section neuro-backward Back Propagation @section neuro-backward Back Propagation
@page biblio Bibliography
- <a href="http://www.tornau.name/wp-content/uploads/2009/04/studiumsmaterialien/neuronale_netze_zusammefassung.pdf">Vorlesung Neuronale Netze - Zusammenfassung - Christoph Tornau</a>
- <a href="http://www.neuronalesnetz.de/">Neuronale Netze Eine Einführung</a>
- <a href="http://alphard.ethz.ch/hafner/Vorles/Optim/ANN/Artificial%20Neural%20Network%20based%20Curve%20Prediction%20Documentation.pdf">Artificial Neural Network based Curve Prediction</a>
- <a href="http://cs231n.github.io/convolutional-networks/">Convolutional Neural Networks (CNNs / ConvNets)</a>
- <a href="https://www.tensorflow.org/versions/r0.9/tutorials/index.html">TensorFlow utorials</a>
- <a href="http://alphard.ethz.ch/hafner/Vorles/Optim/ANN/Artificial%20Neural%20Network%20based%20Curve%20Prediction%20Documentation.pdf">Artificial Neural Network based Curve Prediction</a>
*/ */
template template

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