Machine learning with Pytorch on Google Colab

Google Colab is amazing

Google Colab is amazing and seems to be easy to use GPU for free. I was taught how to use it on AWS, but it's an order of magnitude easier and I cry It ’s a story about doing machine learning with Pytorch.

merit

Demerit

In order to use it well, I will try it while looking at various Qiita and write down the method I made. Maybe there was a lot of old information and it was quite difficult

Install Pytorch on Colab & enable GPU

Runtime> Change Runtime Type> Select GPU

!pip install torch
import torch
torch.cuda.is_available()

If you execute True and get True, you can use the GPU It seems that Pytorch contains something called CUDA for using GPU and can be used (worst explanation)

I want to use a folder

There seems to be quite a way to use files.

① Upload from the side

② Enter some code and upload

from google.colab import files
uploaded = files.upload()

You can upload the file by entering

However, there are times when I want to use the entire dataset, so even if I can upload only the files, I'm in trouble. Is it possible to handle folders in this way?

③ Connect with Google Drive

This is good There are some difficult articles if you put in a lot of difficult code or if you don't want to authenticate, but I wonder if it has become convenient recently. It was really easy

First, click "Mount Drive" from> on the left side. Then the code below was added all the time

from google.colab import drive
drive.mount('/content/drive')

Just put it in, execute it, and copy something with the link that came out! / content / drive / My Drive / Untara If you write, it seems that you can treat it like a local folder, awesome ~ Thank you ~

Bonus: How to give an image

When I use colab to summarize things, I sometimes want to paste a reference image, but it is not connected to the local and there is no insertion. In such a case, first upload the image file from the side and name it Figure_1.png.

from IPython.display import Image,display_png
display_png(Image('Figure_1.png'))

If you execute, the image will not disappear even after a while, so it's good. There is a feeling of first aid

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