86 lines
50 KiB
Plaintext
86 lines
50 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "f7b2b9cc",
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"metadata": {},
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"source": [
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"# Google Cloud Vertex AI"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6ee5fc51",
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"metadata": {},
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"source": [
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"### Wprowadzenie\n",
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"https://cloud.google.com/vertex-ai/docs/beginner/beginners-guide"
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]
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},
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{
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"attachments": {
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"image.png": {
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"image/png": 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"
|
|
}
|
|
},
|
|
"cell_type": "markdown",
|
|
"id": "91b3327d",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Tutoriale\n",
|
|
"https://console.cloud.google.com/vertex-ai -> View Tutorials\n",
|
|
"![image.png](attachment:image.png)"
|
|
]
|
|
},
|
|
{
|
|
"attachments": {
|
|
"image.png": {
|
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"image/png": 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"
|
|
}
|
|
},
|
|
"cell_type": "markdown",
|
|
"id": "8a77edaf",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Tabular AutoML tutorial\n",
|
|
"![image.png](attachment:image.png)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "f666b76e",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Najczęstsze problemy\n",
|
|
"- trenowanie z użyciem AutoML sięnie powiedzie, jeśli nie wybierzesz maszyn z GPU, np. typu G1 albo A2\n",
|
|
"- mszynę wybieramy w ostatnim kroku ustawień trenowania, po rozwinięciu dodatkowych ustawień\n",
|
|
"- jeśli na liście nie widzisz maszyn z GPU to:\n",
|
|
" - zmień region, np. w us-central1 są dostępne A2\n",
|
|
" - być może musisz zwiększyć quota na maszyny A2 w https://console.cloud.google.com/apis/api/compute.googleapis.com/quotas\n",
|
|
"- po uruchomieniu trenowania musisz trochę poczekać aż ono się rozpocznie, cierpliwości"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.16"
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}
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},
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"nbformat_minor": 5
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}
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