I have been trying to predict labels for images on Yelp DataSet on Kaggle.
I basically tried to refer to the steps of multi-label classification like the satellite images as possible but my kernel keeps restarting whenever I call this function
this CSV file has around 234842 images so technically those many rows.
Now I created the get_data function using the function above as mentioned. But when I run the function using even an sz = 64 and bs = 4 the kernel starts restarting.
I tried increasing the iopub data rate limit using Jupiter notebook -- NotebookApp.iopub_data_rate_limit=10000000000
but it doesn’t work. I also tried restarting the kernel and the GPU but I can seem to overcome this problem. Can someone pls explain why this is happening and how I can overcome this? I also tried this fix. None of them are working.
How was it installed, and which version of the satellite image notebook are you using then? As far as I’ve understood, the latest version of fastai doesn’t work with the old course notebooks… Did you follow the install instructions in the readme?
I installed it following the instructions on the course so from the readme, I am guessing the version is 0.7.x. No, I followed the instructions by reshamas (given on the course lesson 1 page) so it’s not the latest version(1.x) and it has been working for all the examples in the course. Only in this case the kernal is restarting.