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Uzupełnienie wykładu 13. CNN

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Paweł Skórzewski 2024-01-25 15:30:15 +01:00
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wyk/13_CNN.ipynb
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@ -8,6 +8,7 @@
}
},
"source": [
"### Uczenie maszynowe\n",
"# 13. Splotowe sieci neuronowe"
]
},
@ -97,6 +98,17 @@
"* nie wykrywa własności „lokalnych” wejścia"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"<img style=\"margin: auto\" width=\"80%\" src=\"http://colah.github.io/posts/2014-07-Conv-Nets-Modular/img/Conv-9-F.png\"/>"
]
},
{
"cell_type": "markdown",
"metadata": {
@ -110,6 +122,28 @@
"W tym celu tworzymy mniejszą sieć neuronową (mniej neuronów wejściowych) i _kopiujemy_ ją tak, żeby każda jej kopia działała na pewnym fragmencie wejścia (fragmenty mogą nachodzić na siebie)."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"<img style=\"margin: auto\" width=\"80%\" src=\"http://colah.github.io/posts/2014-07-Conv-Nets-Modular/img/Conv-9-Conv2.png\"/>"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"<img style=\"margin: auto\" width=\"80%\" src=\"http://colah.github.io/posts/2014-07-Conv-Nets-Modular/img/Conv-9-Conv3.png\"/>"
]
},
{
"cell_type": "markdown",
"metadata": {
@ -123,6 +157,39 @@
"Warstw konwolucyjnych może być więcej niż jedna."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"<img style=\"margin: auto\" width=\"60%\" src=\"http://colah.github.io/posts/2014-07-Conv-Nets-Modular/img/Conv-9-Conv2Conv2.png\"/>"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"<img style=\"margin: auto\" width=\"50%\" src=\"http://colah.github.io/posts/2014-07-Conv-Nets-Modular/img/Conv2-9x5-Conv2.png\"/>"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"<img style=\"margin: auto\" width=\"50%\" src=\"http://colah.github.io/posts/2014-07-Conv-Nets-Modular/img/Conv2-9x5-Conv2Conv2.png\"/>"
]
},
{
"cell_type": "markdown",
"metadata": {
@ -152,6 +219,19 @@
"Więcej: https://en.wikipedia.org/wiki/Kernel_(image_processing)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"Ilustracja działania funkcji splotu:\n",
"\n",
"<img style=\"margin: auto\" height=\"80%\" src=\"https://devblogs.nvidia.com/wp-content/uploads/2015/11/Convolution_schematic.gif\"/>"
]
},
{
"cell_type": "markdown",
"metadata": {