Thanks @ini_27 and @wdhorton for this wonderful work!
There seems to be a lot of tricks and efforts poured in to make them work in Kaggle kernel. Even download dataset seems very tricky.
Everytime I ran Lesson 1 pets on Kaggle, downloading works fine; but when I start a new kernel to download Pets dataset, I got the same error message below
ConnectionError: HTTPSConnectionPool(host='s3.amazonaws.com', port=443): Max retries exceeded with url: /fast-ai-imageclas/oxford-iiit-pet.tgz (Caused by NewConnectionError('<urllib3.connection.VerifiedHTTPSConnection object at 0x7f23189d9f60>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution',))
Here are my quesitons:
- in your lesson 1 pets notebook, it seems every time we run the notebook we have to re-download the pet dataset. does it mean we can’t save the pet dataset somewhere on Kaggle for reuse?
- what do I need to do in order to download the pet dataset in my own new kernel?
- how can I download my trained model/weights on Kaggle kernel into my local computer?