-
|
I'm unable to run the necessary code in the pyCharm IDE on my laptop (due to corporate hardware restrictions). However, I can run code in a Google Colab. Is it possible for me to do everything that's needed for the exam in a colab, download the model results, and upload them to PyCharm for submission? Or will I need to run (some) code in pycharm? P.S. I know this was covered as a possibility in the lesson 361 for computers with limited compute resources, but I'd like to make sure there's no need to download data in the pycharm IDE (ex: tf.keras.datasets.fashion_mnist.load_data()) in order to complete and submit the exam. |
Beta Was this translation helpful? Give feedback.
Replies: 1 comment
-
|
Yes, you can certainly complete your exam using Google Colab and then download the model results to your local machine for submission via PyCharm. you can preload any necessary datasets directly within your Google Colab notebook without needing to download it separately in PyCharm. Check this thread |
Beta Was this translation helpful? Give feedback.
Yes, you can certainly complete your exam using Google Colab and then download the model results to your local machine for submission via PyCharm. you can preload any necessary datasets directly within your Google Colab notebook without needing to download it separately in PyCharm. Check this thread