![]() ![]() If you want to use your Google drive for getting data you need to link your google drive to collaboratory every time you open a notebook. So it is a faster method then uploading your data to use. !wget - no-check-certificate Remember this download is done by Google servers, so it will not be dependent on your internet speed. on why to use GPU check- Adding Data and Dependenciesįor your Machine Learning projects, you will need data and dependencies(libraries).įor installing any libraries just run this in any cell with the library name as each cell also act as a bash interpreter-įor getting your data to work with, if you have it on any server with a direct download link you can run. The execution order will be mentioned as a number on the side of each cell.įor more info. Unlike your standard python compiler, the execution of your script will not necessarily be top-down. In the notebook interface you can write your python codes in each cell(blocks) and hit Shift+Enter to run that cell individually. ![]() On the notebook interface-> click “Edit”-> click “Notebook Settings”-> select “GPU” as “Hardware Accelerator”. (It will be present once you successfully added it in previous step). You can create a new notebook(compiler) by-> click on “New(+)” sign -> click on “more” -> click on “collaboratory”. Head to your google drive-> click on “New(+)” sign -> click on “More” -> click on “Connect more apps”-> search “collaboratory” and add it. Also on top of that it provides you a free Tesla K80 GPU for a run-time of 12hours and after that you only have to re-connect with the service again with a single click!! So in short, unless you have a huge task which would take huge resources and time, you can use Google collab for a faster runtime. It is a Jupyter notebook type interface which you can use just as your standard python compiler but with more features. It is a free cloud based service by Google for developers to experiment with their snippets of python codes. Are you starting on your deep learning journey and things are processing slow!! Or you are already on one and don’t want to buy costly computers for your deep learning endeavors or the cloud computation resources like AWS ,Azure or GCP seems too complicated? Well, Google’s collaboratory is pretty easy and handy tool which will get you started right away!!
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