Google Colab 是讓你用網頁瀏覽器就能寫Python 程式並執行的超讚平台，除了提供強大運算資源、還有免費的GPU 可以用

1. 國立臺北護理健康大學 NTUNHS
Google CoLab
Orozco Hsu
2023-03-21
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2. About me
• Education
• NCU (MIS)、NCCU (CS)
• Work Experience
• Telecom big data Innovation
• AI projects
• Retail marketing technology
• User Group
• TW Spark User Group
• TW Hadoop User Group
• Taiwan Data Engineer Association Director
• Research
• Big Data/ ML/ AIOT/ AI Columnist
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3. Tutorial
Content
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Run some sample codes
Homework
Hello Google CoLab

4. Code
• Sample code
• https://github.com/orozcohsu/ntunhs_2023_01/blob/master/20230321/run.i
pynb
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5. Simple Code
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Click button
Open it with Colab
Copy it to your google drive
Check your google drive
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6. To English Version
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7. Open my sample CoLab code
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Get Computing resource

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Connected, RAM and Disk resources

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Once you quit, remember to delete the runtime resource

12. Google CoLab which includes:
• Jupyter Notebook with basic machine learning packages
• Scikit learn, numpy, pandas, matplotlib
• It also supports hardware accelerate runtime
• GPU (Graphics Processing Unit)
• TPU (Tensor Processing Unit)
• Lifecycle
• The notebook instance lasts 12 hours
• Kernel session for 1 hour.
• Price
• Pay 10.49 USD/month for Colab Pro
• Plan price: Google Colab
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13. Google CoLab
• Which One Do You Choose For Training Your Deep Neural Net?
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Ref: https://www.predictiveanalyticsworld.com/machinelearningtimes/should-you-choose-a-gpu-or-a-tpu-to-train-your-machine-learning-models/10460/
check_colab_gpu_tpu.ipynb

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15. Create your own CoLab code
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16. Create your own CoLab code
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Navigate your path in Google Drive

18. Install the CoLab if you haven’t installed it
before
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File name and tool bar
Cell (coding area)
Session connection
Cell control
panel
Command palette (type logs or scratch or editor)
kernel is running?

21. Check your instance
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Reveal folders

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25. Interaction with your Google Drive
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colab_google_drive.ipynb
Copy folder id
The default work directory is /content
Select a folder in your Google Drive and get the folder link

27. So far, you use local
computing power!
You didn’t use any
GPU accelerator
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28. Run some sample codes
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Convert dataframe to interactive table
interacting_table.ipynb

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colab_charts.ipynb

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colab_charts.ipynb

32. Homework
• Try to run some python code at Colab including interacting
with your Google drive.
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