60 lines
1.5 KiB
Plaintext
60 lines
1.5 KiB
Plaintext
|
{
|
||
|
|
"cells": [
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"\n",
|
||
|
|
"<div class=\"alert alert-block alert-info\">\n",
|
||
|
|
"<h1> Modelowanie Języka</h1>\n",
|
||
|
|
"<h2> 13. <i>Model neuronowy rekurencyjny część 2</i> [ćwiczenia]</h2> \n",
|
||
|
|
"<h3> Jakub Pokrywka (2022)</h3>\n",
|
||
|
|
"</div>\n",
|
||
|
|
"\n",
|
||
|
|
""
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"### ZADANIE\n",
|
||
|
|
"\n",
|
||
|
|
"Proszę zrobić model 1 model rekurencyjny dwuwarstwowy BiLSTM z rekurencyjnym dropoutem oraz analogiczny model GRU.\n",
|
||
|
|
"Proszę zaimplementować early stopping i wykorzystać do treningu. Następnie proszę zrobić ensemble tych 2 modeli.\n",
|
||
|
|
"\n",
|
||
|
|
"Zadanie widoczne na gonito\n",
|
||
|
|
"\n",
|
||
|
|
"\n"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"metadata": {
|
||
|
|
"author": "Jakub Pokrywka",
|
||
|
|
"email": "kubapok@wmi.amu.edu.pl",
|
||
|
|
"kernelspec": {
|
||
|
|
"display_name": "Python 3",
|
||
|
|
"language": "python",
|
||
|
|
"name": "python3"
|
||
|
|
},
|
||
|
|
"lang": "pl",
|
||
|
|
"language_info": {
|
||
|
|
"codemirror_mode": {
|
||
|
|
"name": "ipython",
|
||
|
|
"version": 3
|
||
|
|
},
|
||
|
|
"file_extension": ".py",
|
||
|
|
"mimetype": "text/x-python",
|
||
|
|
"name": "python",
|
||
|
|
"nbconvert_exporter": "python",
|
||
|
|
"pygments_lexer": "ipython3",
|
||
|
|
"version": "3.8.3"
|
||
|
|
},
|
||
|
|
"subtitle": "0.Informacje na temat przedmiotu[ćwiczenia]",
|
||
|
|
"title": "Ekstrakcja informacji",
|
||
|
|
"year": "2021"
|
||
|
|
},
|
||
|
|
"nbformat": 4,
|
||
|
|
"nbformat_minor": 4
|
||
|
|
}
|