To add more cells hover over either at the top or bottom of an existing cell. CTRL-Enter executes the code cell in place while Shift-Enter executes the code cell and moves to the next cell. The other ways are to either press CTRL-Enter or Shift-Enter. Click the play button to execute the code cell. If you hover over or click on a code cell, a play option will appear on the left side of the cell. Code cells can be executed in multiple ways. You can use this method to re-open the notebook.Ĭolab Notebooks are primarily made up of code cells and text cells. Double-click on the notebook file, a pop up window with the option to open it in a Google Colab environment will appear. Open the new folder to see your copy of the notebook. This is where any notebooks you worked on in Google Colab will be saved. Open your Google Drive, you will see a new folder named Colab Notebooks. The notebook will Autosave progress, or you can manually save by pressing CTRL-S. It will reopen the notebook in a new tab where any changes made can be saved to your Google Drive. Save the notebook to your Google Drive since you can’t make changes to my copy. You can open my copy of the notebook by clicking the link below. Open Google Colab Notebookįirst, get your copy of the Colab Notebook. You need to wait for a while (probably 12 hours) for the time limit to reset. You will get disconnected from the server if you leave a notebook running past that. Important: Google Colab restricts GPU allocation for free users to 12 hours at a time. It also provides free access to cloud GPUs for model training. It removes the need to set up a Python* environment on your local machine. Google Colab provides a virtual environment that allows anyone to write and execute arbitrary Python* code in their browser. In this part, we will use the free tier of Google Colab to train a style transfer model. In Part 1 of the tutorial, we installed Unity* and selected an image for style transfer, and optionally used Unity* Recorder to record in-game footage. By Christian Mills, with Introduction by Peter Cross IntroductionĪs part of this ongoing series focused on style transfer technology, we feel privileged that Graphics Innovator, Christian Mills, allowed us to repurpose much of his training in the Machine Learning and Style Transfer world, and share it with the game developer community.
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