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  2. Google Colab

    When others open the shared notebook, they will be connected to a standard Cloud runtime by default. By default, all code cell outputs are stored in Google Drive. If your local connection will access sensitive data and you would like to omit code cell outputs, select Edit > Notebook settings > Omit code cell output when saving this notebook.

  3. Google Colab

    Fashion MNIST is intended as a drop-in replacement for the classic MNIST dataset—often used as the "Hello, World" of machine learning programs for computer vision. The MNIST dataset contains images of handwritten digits (0, 1, 2, etc.) in a format identical to that of the articles of clothing you'll use here.

  4. you can do this by mount your drive to colab and write some code to put the id of your python file you can find code here importing python file from drive to colab # Code to read file into colaboratory: !pip install -U -q PyDrive from pydrive.auth import GoogleAuth from import GoogleDrive from google.colab import auth from oauth2client.client import GoogleCredentials #Autheticate ...

  5. Books on Google Play

    Enjoy millions of the latest Android apps, games, music, movies, TV, books, magazines & more. Anytime, anywhere, across your devices.

  6. WeNote: Notes Notebook Notepad - Apps on Google Play

    Secure Lock to Keep Notebook Private This notepad can secure lock and keep notes private. Either lock a note or lock the entire app to keep the notebook safe. Sticky Notes Home Widget There are 5 different widgets. They are normal sticky notes, mini sticky notes, quick-add memos, calendar memos, and note list.

  7. Use your Google Account. Email or phone. Forgot email? Type the text you hear or see. Not your computer? Use a private browsing window to sign in. Learn more. Next.

  8. Google Colab

  9. 4 Reasons Why You Should Use Google Colab for Your Next ...

    Figure 6. A Screenshot of Empty Google Colab Notebook Congratulations. You have successfully created a Google Colab notebook within minutes. Now you can start working on your machine learning project. In this post, we talked about three complementary interactive programming environments. iPython provides a useful kernel to run interactive codes.

  10. Google

    Search the world's information, including webpages, images, videos and more. Google has many special features to help you find exactly what you're looking for.

  11. Google Colab