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Author SHA1 Message Date
Paweł Skórzewski
4124ed6e9e Aktualizacja przykładów 2023-12-14 18:05:05 +01:00
Paweł Skórzewski
72cb8414a4 Aktualizacja wykładów 2023-12-14 18:04:47 +01:00
Paweł Skórzewski
bb0f194a76 Aktualizacja przykładów sieci neuronowych 2023-12-14 18:04:23 +01:00
11 changed files with 69 additions and 75 deletions
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lab/CNN_Keras.ipynb
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@ -265,7 +265,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
"version": "3.10.12"
},
"livereveal": {
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lab/CNN_PyTorch.ipynb
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@ -1,7 +1,6 @@
{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {
"slideshow": {
@ -14,7 +13,6 @@
]
},
{
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@ -176,7 +174,6 @@
]
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@ -707,15 +704,13 @@
]
},
{
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"metadata": {},
"source": [
"Polecam również bibliotekę [PyTorch-Lightning](https://www.pytorchlightning.ai), dzięki któej kod PyTorcha staje się trochę bardziej \"uporządkowany\"."
"Polecam również bibliotekę [PyTorch-Lightning](https://lightning.ai/pytorch-lightning), dzięki któej kod PyTorcha staje się trochę bardziej \"uporządkowany\"."
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
@ -740,7 +735,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
"version": "3.10.12"
},
"livereveal": {
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2
lab/Sieci_neuronowe_Keras.ipynb
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@ -248,7 +248,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
"version": "3.10.12"
},
"livereveal": {
"start_slideshow_at": "selected",

2
lab/linear_regression_pytorch.ipynb
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@ -549,7 +549,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
"version": "3.10.12"
}
},
"nbformat": 4,

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wyk/07_Uczenie_nienadzorowane.ipynb
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wyk/08_NB_i_KNN.ipynb
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wyk/09_SVM_i_drzewa_decyzyjne.ipynb
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@ -924,7 +924,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
"version": "3.10.12"
},
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wyk/10_Sieci_neuronowe.ipynb
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@ -1329,7 +1329,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
"version": "3.10.12"
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wyk/11_Propagacja_wsteczna.ipynb
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@ -2078,7 +2078,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
"version": "3.10.12"
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wyk/12a_Metody_zbiorcze.ipynb
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@ -9,7 +9,7 @@
},
"source": [
"### Uczenie maszynowe\n",
"# 12a. Metody zbiorcze"
"# 9a. Metody zbiorcze"
]
},
{
@ -168,7 +168,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
"version": "3.10.12"
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wyk/14_RNN.ipynb
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@ -500,7 +500,7 @@
"name": "python",
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"pygments_lexer": "ipython3",
"version": "3.10.6"
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