I use the Google cloud platform to run the jupyter notebook. However, i often face one problem.
The Kernel is always restarting. The error message is “The kernel appears to have died. It will restart automatically.”
Is there something wrong with my GCP set? I wonder if I ran out of memory.
Hi, I discovered the ML course kind of by accident here. A previous question’s answer implies that it’s okay for us lay public people to watch it, that you won’t get in trouble if I do BUT the lecture says to watch it on course.fast.ai and not on YouTube for reasons which were highly unclear. However, I can’t find those lessons on course.fast.ai.
Should I be waiting until they are up on course.fast.ai or is it okay to watch them on YouTube?
Hi, I am signed into Colaboratory with my gmail account. I loaded the Fastai lesson1 notebook and saved it to my Google Drive. But I can not run any of the cells in the notebook.
I click File > Open recent, and the notebook is loaded from Google Drive.
When I try to run any of the cells in the notebook I get the message:
Hi Hwang,
I am running GCE too, and although there may be some weirdness around GCE (google compute engine) the errors, the most common error I have is the GPU running out of memory. You can lower memory by manually lowering the batch size bs in the ConvLearner constructor.
Hello,
Is it just me or is Paperspace now requiring security clearance even on the lowest machine after selecting Public Templates. Actually the security block comes on right after selecting Public Templates. This is my 2nd day of waiting for clearance and I am eager to get started. Perhaps they have more customers than they can handle. What are they worried about? North Korean hackers?
I reached the end of the Lesson 1 video, but it stopped at the “Improving our model” section of the Jupyter notebook. Will the rest of the notebook be covered in a later video, or are we supposed to explore the rest of the notebook ourselves?
Encountered the same Paperspace problem, been days and I still can not have access to create even an Ubuntu instance! How long do you guys need to wait to be approved?
I found out from the first lesson that I have to configure web services like ‘paperspace’. But, I have a laptop with GTX1050, is it not possible to configure this GPU itself and run the programs??
I came across the same issue last week when I was trying to set up my machine. I waited about 3 days before I sent a support ticket and they approved my request within 24 hours after.
Hi, I had run the lesson 1 notebook earlier on Google Colab without any issue. However yesterday when I tried to re-run it, facing below error. AxisError: axis 1 is out of bounds for array of dimension 1
Thanks for the reply!
I am new to these GPU configurations. Could you please clarify my below thoughts.
We use WEB services for training when one does not have a GPU in his\her PC.
If the appropriate GPU is available in PC, we do not need to use any WEB services. Right? We just have to configure the GPU available on PC for training.
If my understanding is correct, how do I configure GPU on my laptop for trainin g?
Notice the different between your accuray() and the current up-to-date accuracy() function. Then, try using the current up-to-date notebook. For that part code it is now (using accuracy_np() )
log_preds,y = learn.TTA()
probs = np.mean(np.exp(log_preds),0)
accuracy_np(probs, y)
Further, check out the dimension of log_preds, and probs in your code. log_preds should be a 3D-array, then after average over the first dimension, probs should be a 2D-array. If probs is not a 2D-array, you get that error.
To get through this course GPU is required. You can have it by using cloud services like AWS, Paperspace, GCP, … or you have it on your own computer. In either cases, you need to set up the environment to run the course’s notebooks. Set up might take a lot of time and hassle depending on what platform you choose. The easiest way is using Paperspace and the hardest way might be to configure your own computer. Please refer to this excellent repo where @reshama documented how to configure platforms for this course.